Laboratory risk grade evaluation method and device and medium

Abstract

The invention discloses a risk level evaluation method and device for a laboratory and a medium, relates to the technical field of risk evaluation, and aims to solve the problems of incomplete risk management and low risk management effectiveness caused by the fact that risk levels cannot be quantified in risk management of the laboratory in the prior art. The method comprises the following steps: acquiring risk monitoring data of a to-be-evaluated object; the risk monitoring data at least comprises risk influence data of the to-be-evaluated object under different target dimensions and risk occurrence frequency of the to-be-evaluated object; calculating the risk influence degree of the to-be-evaluated object based on the target dimension and the risk influence data; the target dimension at least comprises one or more of experimenter safety, a detection period, detection quality, cost accounting and enterprise scoring; calculating a risk occurrence degree based on the risk occurrence frequency; and determining the risk level of the to-be-evaluated object based on the risk influence degree and the risk occurrence degree. According to the invention, the risk management comprehensiveness and effectiveness of the laboratory can be improved.

Description

Technical Field

[0001] The present invention relates to the technical field of risk assessment, and in particular to a laboratory risk level evaluation method, device and medium. Background Art

[0002] In the laboratory management system, risk identification and evaluation are crucial. Laboratories face a variety of risks, including but not limited to testing equipment risks, experimental sample risks, personnel operation risks, environmental factor risks, testing method risks, etc. Accurate identification and evaluation of these risks can effectively guarantee the normal operation of the laboratory, ensure accurate experimental results, and personnel safety.

[0003] ISO17025, CNAS-CL01-G001 and other standards clearly state that "laboratories should consider the risks and opportunities associated with laboratory activities, plan measures to address these risks and opportunities, and evaluate the effectiveness of the measures."

[0004] Risk and opportunity management is also gradually being incorporated into corporate laboratory management systems, but corporate laboratories currently lack quantifiable risk identification and risk assessment methods. Summary of the invention

[0005] The purpose of the present invention is to provide a laboratory risk level evaluation method, device and medium, which are used to solve the problems of incomplete risk management and low risk management effectiveness caused by the inability to quantify risk levels in laboratory risk management in the prior art.

[0006] In order to achieve the above object, the present invention provides the following technical solutions:

[0007] In a first aspect, the present invention provides a method for evaluating the risk level of a laboratory, comprising:

[0008] Obtain risk monitoring data of the object to be evaluated; the object to be evaluated includes at least packaging materials to be tested, samples to be managed, and pH values ​​to be measured; the risk monitoring data includes at least risk impact data of the object to be evaluated under different target dimensions and the number of times the risk of the object to be evaluated occurs;

[0009] Based on the target dimension and the risk impact data, the risk impact degree of the object to be evaluated is calculated; the target dimension includes at least one or more of the safety of laboratory personnel, detection cycle, detection quality, cost accounting and enterprise score;

[0010] Based on the number of times the risk occurs, the risk occurrence degree is calculated;

[0011] Based on the risk impact degree and the risk occurrence degree, the risk level of the object to be evaluated is determined.

[0012] Optionally, the risk monitoring data further includes a reference table of risk impact levels corresponding to the object to be evaluated; the reference table of risk impact levels includes risk impact scores corresponding to different levels of the object to be evaluated under different target dimensions;

[0013] The step of calculating the risk impact degree of the object to be evaluated based on the target dimension and the risk impact data includes:

[0014] Based on the risk impact data and the risk impact degree reference table, determine the risk impact score of the object to be evaluated under each target dimension;

[0015] Based on the risk impact score of the object to be evaluated in each target dimension, the risk impact degree of the object to be evaluated is determined.

[0016] Optionally, when the object to be evaluated is the packaging material to be tested, the target dimensions include the safety of the experimenter and the cost accounting;

[0017] Determining the risk impact degree of the object to be evaluated based on the risk impact score of the object to be evaluated in each target dimension includes:

[0018] Using the formula:

[0019] S1=max{S 11 ,…S i1 , …, S M1}

[0020] Determine the risk impact degree of the packaging material to be tested; wherein S1 is the risk impact degree of the packaging material to be tested; S i1 is the risk impact score of the packaging material to be tested in the i-th target dimension; M1 is the total number of target dimensions of the packaging material to be tested;

[0021] The calculating the risk occurrence degree based on the risk occurrence times includes:

[0022] Using the formula:

[0023]

[0024] Calculate the frequency of risk occurrence of the packaging material to be tested; wherein P is the frequency of risk occurrence of the packaging material to be tested, and T is a preset time period;

[0025] Using the formula:

[0026]

[0027] Calculate the probability of risk occurrence of the packaging material to be tested; wherein P1 is the probability of risk occurrence of the packaging material to be tested, H is the preset number of risk monitoring times within the preset time period, and N1 is the number of risk occurrences of the packaging material to be tested within the preset time period;

[0028] The risk occurrence degree of the packaging material to be detected is determined based on the risk occurrence probability of the packaging material to be detected and the risk occurrence frequency of the packaging material to be detected.

[0029] Optionally, when the object to be evaluated is the sample to be managed, the target dimensions include the safety of the experimenter, the detection cycle, detection quality, cost accounting and enterprise score;

[0030] Determining the risk impact degree of the object to be evaluated based on the risk impact score of the object to be evaluated in each target dimension includes:

[0031] Using the formula:

[0032] S2=max{S 12 ,…S i2 , …, S M2}

[0033] Determine the risk impact degree of the sample to be managed; wherein S2 is the risk impact degree of the sample to be managed; S i2 is the risk impact score of the sample to be managed in the i-th target dimension; M2 is the total number of target dimensions of the sample to be managed;

[0034] The calculating the risk occurrence degree based on the risk occurrence times includes:

[0035] Using the formula:

[0036]

[0037] Calculate the frequency of risk occurrence of the sample to be managed; wherein F2 is the frequency of risk occurrence of the sample to be managed, and N2 is the number of times the risk of the sample to be managed occurs within the preset time period;

[0038] Based on the risk occurrence frequency of the sample to be managed, the risk occurrence degree of the sample to be managed is determined.

[0039] Optionally, when the object to be evaluated is the pH value to be measured; the target dimensions include the detection quality and the safety of the experimenter;

[0040] Determining the risk impact degree of the object to be evaluated based on the risk impact score of the object to be evaluated in each target dimension includes:

[0041] Using the formula:

[0042]

[0043] Determine the risk impact degree of the pH value to be determined; wherein S3 is the risk impact degree of the pH value to be determined; S i3 is the risk impact score of the pH value to be measured in the i-th target dimension; ω i is the weight of the i-th target dimension; M3 is the total number of target dimensions of the pH value to be measured;

[0044] The calculating the risk occurrence degree based on the risk occurrence times includes:

[0045] Using the formula:

[0046]

[0047] Calculate the risk probability of the pH value to be measured; wherein E3 is the risk probability of the pH value to be measured, and N1 is the number of times the risk of the pH value to be measured occurs;

[0048] Based on the risk occurrence probability of the pH value to be determined, the risk occurrence degree of the pH value to be determined is determined.

[0049] Optionally, before calculating the risk impact degree score based on the target dimension and the risk impact data, the method further includes:

[0050] Extracting abnormal data from the risk monitoring data;

[0051] Performing data evaluation on the risk monitoring data based on the abnormal data to obtain a data evaluation result;

[0052] If the data evaluation result indicates that the risk monitoring data is abnormal, the risk monitoring data is reacquired or the abnormal data is eliminated.

[0053] Optionally, the abnormal data includes repeated data; the repeated data is data of a certain event that occurs repeatedly within a preset time period;

[0054] The performing data evaluation on the risk monitoring data based on the abnormal data to obtain a data evaluation result includes:

[0055] For the duplicate data, the abnormal causes are investigated one by one from multiple pre-set investigation dimensions; the multiple investigation dimensions at least include personnel, equipment, environment and transportation process;

[0056] If the abnormal reason is established, the record score is 1 point, if the abnormal reason is not established, the record score is 0 point;

[0057] Sum up all the record scores to get the sum result corresponding to each screening dimension;

[0058] If the sum of any of the screening dimensions is greater than or equal to 1 point, the data evaluation result is marked as finding the cause of the abnormality.

[0059] Optionally, the laboratory risk level assessment method also includes:

[0060] Based on the risk level, risk prevention and control measures are generated.

[0061] Compared with the prior art, the present invention provides a laboratory risk level evaluation method. In the laboratory risk management system, the risk impact degree of the object to be evaluated is calculated according to the risk impact data and the target dimension, the risk occurrence degree is calculated according to the number of risk occurrences, and finally the risk level of the object to be evaluated is determined according to the risk impact degree and the risk occurrence degree. In this way, various risks in the laboratory can be quantified, thereby improving the comprehensiveness and effectiveness of laboratory risk management.

[0062] In a second aspect, the present invention further provides a laboratory risk level assessment device, comprising:

[0063] An acquisition module is used to acquire risk monitoring data of an object to be evaluated; the object to be evaluated includes at least packaging materials to be tested, samples to be managed, and pH values ​​to be measured; the risk monitoring data includes at least risk impact data of the object to be evaluated under different target dimensions and the number of times the risk of the object to be evaluated occurs;

[0064] A first calculation module is used to calculate the risk impact degree of the object to be evaluated based on the target dimension and the risk impact data; the target dimension includes at least one or more of the safety of laboratory personnel, detection cycle, detection quality, cost accounting and enterprise score;

[0065] A second calculation module is used to calculate the risk occurrence degree based on the number of risk occurrences;

[0066] The determination module is used to determine the risk level of the object to be evaluated based on the risk impact degree and the risk occurrence degree.

[0067] In a third aspect, the present invention further provides a computer storage medium, in which instructions are stored, and when the instructions are executed, the laboratory risk level evaluation method described in any one of the above items is implemented. BRIEF DESCRIPTION OF THE DRAWINGS

[0068] The drawings described herein are used to provide a further understanding of the present invention and constitute a part of the present invention. The exemplary embodiments of the present invention and their descriptions are used to explain the present invention and do not constitute an improper limitation of the present invention. In the drawings:

[0069] Figure 1 One of the flow diagrams of a risk level evaluation method for a laboratory provided by an embodiment of the present invention;

[0070] Figure 2 A second flow chart of a method for evaluating the risk level of a laboratory provided by an embodiment of the present invention;

[0071] Figure 3 A schematic diagram of the structure of a laboratory risk level assessment device provided by one embodiment of the present invention. DETAILED DESCRIPTION

[0072] In order to clearly describe the technical solutions of the embodiments of the present invention, in the embodiments of the present invention, words such as "first" and "second" are used to distinguish the same items or similar items with basically the same functions and effects. For example, the first threshold and the second threshold are only used to distinguish different thresholds, and their order is not limited. Those skilled in the art can understand that words such as "first" and "second" do not limit the quantity and execution order, and words such as "first" and "second" do not necessarily limit them to be different.

[0073] It should be noted that, in the present invention, words such as "exemplary" or "for example" are used to indicate examples, illustrations or descriptions. Any embodiment or design described as "exemplary" or "for example" in the present invention should not be interpreted as being more preferred or more advantageous than other embodiments or designs. Specifically, the use of words such as "exemplary" or "for example" is intended to present related concepts in a specific way.

[0074] In the present invention, "at least one" means one or more, "more than one" means two or more. "And / or" describes the association relationship of the associated objects, indicating that three types of relationships may exist.

[0075] like Figure 1 As shown, an embodiment of the present invention provides a laboratory risk level evaluation method, which may include:

[0076] Step 110: Obtain risk monitoring data of the object to be evaluated; the object to be evaluated includes at least the packaging materials to be tested, the samples to be managed, and the pH value to be measured; the risk monitoring data includes at least the risk impact data of the object to be evaluated under different target dimensions and the number of times the risk of the object to be evaluated occurs;

[0077] It is understandable that in the laboratory risk management system, the objects to be evaluated often cause many negative impacts when risk events occur. Therefore, risk level evaluation of each object to be evaluated in the laboratory can quantify the various risks in the laboratory, and then take corresponding risk prevention and control measures to improve the laboratory's risk resistance.

[0078] It should be noted that the number of risk occurrences is the actual number of risk occurrences obtained by performing risk monitoring or risk surveillance on the object to be evaluated for a preset number of times (e.g., 100 times) within a preset time period (e.g., 365 days a year).

[0079] Step 120: Based on the target dimensions and risk impact data, the risk impact degree of the object to be evaluated is calculated; the target dimensions include at least one or more of laboratory personnel safety, test cycle, test quality, cost accounting, and enterprise score;

[0080] It should be noted that the risk impact degree refers to the severity of the negative impact in the target dimension when a risk event occurs in the object to be evaluated. In this implementation, it is used to assess the overall risk level and determine the risk response measures to be taken.

[0081] The target dimensions in the experiment include but are not limited to the above examples. The above five target dimensions of laboratory personnel safety, detection cycle, detection quality, cost accounting and enterprise scoring are risk assessment dimensions that are more closely related to the laboratory in the embodiment of the present invention. These target dimensions can be used to evaluate the risk level to improve the comprehensiveness and effectiveness of risk management of laboratories, especially corporate laboratories.

[0082] Step 130: Calculate the risk occurrence degree based on the number of risk occurrences;

[0083] Step 140: Determine the risk level of the object to be evaluated based on the risk impact degree and risk occurrence degree.

[0084] Optionally, step 140 is specifically as follows: multiplying the risk impact degree and the risk occurrence degree to obtain a product result, and determining the risk level according to the product result.

[0085] From the above content, it can be seen that in the laboratory risk management system, the risk impact degree of the object to be evaluated is calculated based on the risk impact data and target dimensions, the risk occurrence degree is calculated based on the number of risk occurrences, and finally the risk level of the object to be evaluated is determined based on the risk impact degree and risk occurrence degree. In this way, various risks in the laboratory can be quantified, the comprehensiveness and effectiveness of laboratory risk management can be improved, and the safety factor of the laboratory can be improved.

[0086] Specifically, in the laboratory risk management system, risk events can be classified according to the object to be evaluated, and one object to be evaluated can correspond to at least one major category of risk events. For example, the major category of risk events corresponding to the packaging material to be tested may be packaging material testing. For example, the major category of risk events corresponding to the samples to be managed may be sample management of new products; for example, the major category of risk events corresponding to the samples to be managed may be sample storage of old products. For example, the major category of risk events corresponding to the pH value to be determined may be the pH value determination of cosmetics; for example, the major category of risk events corresponding to the pH value to be determined may be the pH value determination of biological samples; for example, the major category of risk events corresponding to the pH value to be determined may be the pH value determination of pharmaceuticals. The above is only an exemplary description, and other details will not be repeated.

[0087] A risk event category may also include one or more risk event types, see Table 1. In Table 1, for example, risk event types related to new sample management include but are not limited to: sample information leakage, sample loss, sample contamination, or sample deterioration.

[0088] Refer to Table 1, each risk event type can correspond to one or more risk sources. For example, for the risk event type sample information leakage, the corresponding risk sources may at least include: improper management of samples submitted for inspection, new product samples circulated on the market, and incomplete elimination of sample information when samples are scrapped. For example, for the risk event type sample loss, the corresponding risk sources may at least include: the test personnel did not keep the samples in time or lost them accidentally, the samples were scrapped before expiration, the sample identification was wrong or confusing, or the sample information label fell off. For example, for the risk event type sample contamination or sample deterioration, the corresponding risk sources may at least include: the temperature and humidity at the sample storage place do not meet the requirements, the samples are misused or improperly stored, and the test personnel did not properly seal them after opening them or before keeping them.

[0089] Table 1: Risk identification and response table for samples to be managed (sample management of new products)

[0090]

[0091]

[0092] Specifically, the risk level evaluation of the object to be evaluated can be refined into the risk level evaluation of each risk source related to the object to be evaluated. Then, the risk monitoring data at least includes the risk impact data of each risk source in the object to be evaluated under different target dimensions and the number of risk occurrences of each risk source in the object to be evaluated, and then based on the target dimension and the risk impact data of each risk source, the risk impact degree of each risk source is calculated; based on the number of risk occurrences of each risk source, the risk occurrence degree of each risk source is calculated; finally, based on the risk impact degree of each risk source and the risk occurrence degree of each risk source, the risk level of each risk source is determined. Once the risk level of each risk source is determined, targeted risk prevention and control measures can be taken for the risk source. See the countermeasures and critical control points in Table 1. This is conducive to improving the comprehensiveness and effectiveness of the laboratory's risk management.

[0093] It is understandable that the risk monitoring data also includes a reference table of risk impact levels corresponding to the object to be evaluated, and the reference table of risk impact levels includes: risk impact scores corresponding to different impact levels of each risk source corresponding to the object to be evaluated under each target dimension, such as Table 2.

[0094] See Table 2. The risk impact level reference table includes: all target dimensions related to the object to be evaluated, all risk sources related to the object to be evaluated, the risk impact level classification, and the risk impact scores corresponding to the different impact levels of each risk source under each target dimension.

[0095] It is understandable that the risk impact level reference table may also include the weight of each target dimension.

[0096] like Figure 2 As shown, step 120 calculates the risk impact degree of the object to be evaluated based on the target dimension and the risk impact data, which may specifically include:

[0097] Step 121: Based on the risk impact data and the risk impact degree reference table, determine the risk impact score of the object to be evaluated under each target dimension;

[0098] Step 122: Determine the risk impact degree of the object to be evaluated based on the risk impact score of the object to be evaluated in each target dimension.

[0099] Specifically, in step 121, the risk impact data includes risk impact sub-data of the object to be evaluated under each target dimension.

[0100] In the risk impact reference table, the risk impact is divided into a preset number of impact levels in advance according to the impact. For example, in Table 2, the risk impact is divided into 5 levels, and each level is set with a corresponding score according to actual needs. In this way, the risk impact sub-data under each target dimension is compared one by one with the data content of the target dimension at different impact levels. If they meet, the risk impact score under the target dimension is obtained.

[0101] Combining Table 1 and Table 2, the risk sub-data obtained for the risk source "Sample Management for Inspection" in the single target dimension "Enterprise Score" is "Causes certain damage to the corporate image, and it takes 3 months and a certain economic price to eliminate the impact". The content of this sub-data is most consistent with "Causes certain damage to the corporate image, and it takes a long time and a certain economic price to eliminate the impact" in Table 2. Therefore, the score of the risk source "Sample Management for Inspection" in the target dimension "Enterprise Score" is recorded as 3 in Table 1.

[0102] Specifically, at step 122, determining the risk impact degree includes at least two algorithms. The first algorithm is to determine the highest risk impact score in all target dimensions as the final risk impact degree, and the second algorithm is to perform a weighted average calculation of the risk impact scores in all target dimensions, and then determine the result of the weighted average calculation as the final risk impact degree. The selection of the two algorithms is related to the major categories of risk events corresponding to the object to be evaluated.

[0103] Table 2: Reference table of risk impact levels of samples to be managed

[0104]

[0105]

[0106] It should be noted that there are three ways to calculate the risk occurrence degree. The first one: the risk occurrence degree is obtained based on the probability of risk occurrence. The second one: the risk occurrence degree is obtained based on the frequency of risk occurrence. The third one: the risk occurrence degree is obtained based on the probability of risk occurrence and the frequency of risk occurrence. The above three methods of calculating the risk occurrence degree are related to the major categories of risk events corresponding to the object to be evaluated. Using different methods of calculating the risk occurrence degree for different objects to be evaluated can improve the risk management efficiency of the laboratory.

[0107] It is understandable that the risk monitoring data also includes one or more risk occurrence reference tables, such as Table 3.

[0108] Table 3: Risk occurrence reference table for samples to be managed

[0109] Risk level Points Scoring rules Almost certain (very likely to happen) 5 Occurs at least once a week on average Very likely (high probability of occurrence) 4 Occurs at least once a month on average Possible (likely to occur) 3 On average, it happens at least once every quarter Unlikely (very unlikely to happen) 2 On average, it occurs at least once every six months Almost impossible (very unlikely to occur or will not occur) 1 Occurs at least once a year or not at all

[0110] It is understandable that the risk monitoring data also includes one or more risk level evaluation reference tables or risk level evaluation reference data. In step 140, based on the risk impact degree and the risk occurrence degree, the risk level of the object to be evaluated is determined, specifically: the product of the risk impact degree and the risk occurrence degree is used as the risk evaluation result score, and then the risk evaluation result score is compared with the risk level evaluation reference data to obtain the risk occurrence level.

[0111] In the first specific implementation, the object to be evaluated is the sample to be managed, which is understood in conjunction with Table 1, Table 2 and Table 3. The relevant target dimensions are laboratory personnel safety, detection cycle, detection quality, cost accounting and enterprise scoring.

[0112] Step 122: Determine the risk impact degree of the object to be evaluated based on the risk impact score of the object to be evaluated under each target dimension, which may specifically include:

[0113] Using the formula:

[0114] S2=max{S 12 ,…S i2 , …, S M2} (1)

[0115] Determine the risk impact of the sample to be managed; where S2 is the risk impact of the sample to be managed; S i2 is the risk impact score of the sample to be managed in the i-th target dimension; M2 is the total number of target dimensions of the samples to be managed.

[0116] The risk impact scores of the above samples to be managed in each target dimension are obtained by comparing the sub-data under each target dimension in the risk monitoring data of the samples to be managed with the reference report of the risk impact degree.

[0117] After obtaining the risk monitoring data of the sample to be managed, the risk impact sub-data under each target dimension in the risk monitoring data of the sample to be managed is compared with the corresponding risk impact degree reference table (such as Table 2) to obtain the risk impact score of each target dimension, and then the following step 122 is performed.

[0118] Step 130 calculates the risk occurrence degree based on the number of risk occurrences, which may specifically include:

[0119] Using the formula:

[0120]

[0121] Calculate the risk occurrence frequency of the sample to be managed; where P2 is the risk occurrence frequency of the sample to be managed; T is the number of days corresponding to the preset time period (for example, 365 days in a year); N2 is the number of risk occurrences of the sample to be managed in the preset time period;

[0122] Based on the risk occurrence frequency of the sample to be managed, determine the risk occurrence degree of the sample to be managed. Specifically, compare the risk occurrence frequency with the risk occurrence reference table (such as Table 3) to obtain the risk occurrence score, and then determine the risk occurrence score as the risk occurrence degree.

[0123] Furthermore, step 140 may specifically include: determining the risk level of the sample to be managed based on the product of the risk occurrence degree of the sample to be managed and the risk impact degree of the sample to be managed.

[0124] In step 140, the product of the risk occurrence degree of the sample to be managed and the risk impact degree of the sample to be managed is determined as the risk assessment result score, and then the risk assessment result score is compared with the risk level evaluation reference data obtained from the risk monitoring data to obtain the risk level of each risk source in the sample to be managed.

[0125] Regarding the risk level evaluation reference data, for example, if the risk assessment result score R ≤ 2 points, it belongs to the first-level risk; if 2 points < R ≤ 6 points, it belongs to the second-level risk; if 6 < risk assessment result score ≤ 10 points, it belongs to the third-level risk. See Table 1.

[0126] The risk level evaluation method of the laboratory also includes: generating risk prevention and control measures based on the risk level, that is, generating corresponding prevention and control measures for each risk source based on the risk level of each risk source in the object to be evaluated.

[0127] For example, for the second-level risk: it is an acceptable risk, no response measures are required, maintain the status quo; for the third-level risk, the response measure is to formulate risk control measures: perform new product packaging and label integrity damage treatment before scrapping. See Table 1.

[0128] As can be seen from the above, for the major risk event category of new product sample management, due to the wide scope of new product sample management and its relatively many related target dimensions, a large amount of computing resources are used in the risk level evaluation process. The risk impact degree is directly determined by the maximum value in the risk impact score, which can simplify the calculation process in the risk level evaluation and quickly identify the most serious risk sources, thereby helping to quickly formulate appropriate risk response measures and improve the risk management efficiency of the laboratory; in addition, since the new product sample management involves a relatively short cycle and the occurrence probability of various risk sources is relatively high, the score of the risk occurrence frequency is used to determine the risk occurrence degree, which can improve the risk management efficiency of the laboratory.

[0129] In the second specific implementation mode, the object to be evaluated is the packaging material to be tested, which is understood in combination with Table 4, Table 5, Table 6 and Table 7.

[0130] Before using risk monitoring data to evaluate risk levels, you can first perform the following steps:

[0131] Step 1: Extract abnormal data from risk monitoring data;

[0132] Step 2: Perform data evaluation on risk monitoring data based on abnormal data to obtain data evaluation results;

[0133] The second step can specifically include:

[0134] ① Identify duplicate data in risk monitoring data; duplicate data refers to data where a certain event occurs repeatedly within a preset period of time;

[0135] ② Investigate the causes of abnormalities one by one from multiple pre-set investigation dimensions; the multiple investigation dimensions at least include personnel, equipment, environment and transportation process;

[0136] ③ If the abnormal reason is established, 1 point will be recorded; if the abnormal reason is not established, 0 point will be recorded;

[0137] ④Sum up all the record scores to get the sum result corresponding to each screening dimension;

[0138] ⑤ If the sum of any of the investigation dimensions is greater than or equal to 1 point, the data evaluation result will be marked as the cause of the abnormality.

[0139] The third step is also the final step: if the data evaluation results indicate that the risk monitoring data is abnormal, the risk monitoring data is reacquired or the abnormal data is eliminated.

[0140] From another perspective, when the abnormal evaluation score of repeated data is 0 points after abnormal cause investigation and analysis, it means that no abnormal results are found, and the repeated data can be regarded as valid data and directly used in the subsequent risk level evaluation calculation process.

[0141] For example, the abnormal occurrence data evaluation E in the data evaluation result can be obtained by the following formula:

[0142] E=IF{(OR(E a , ≥1, "the cause of abnormality is found"), OR (E b , score ≥

[0143] 1, "Discover the cause of the abnormality"), OR (E c , ≥1, "the cause of abnormality is found"), ..., OR (E n , score ≥ 1, "discover the cause of the abnormality")}(3)

[0144] Where n is the total number of dimensions to be investigated; E a To check the evaluation results of dimension a, E a , is E a Formula (3) indicates that if the evaluation result of any screening dimension is ≥ 1, the data evaluation result indicates that there is abnormal data in the data.

[0145] The evaluation result E of dimension a is checked a It can be obtained by the following formula:

[0146] E a ={SUM[IF(AND(a1≥1, "Discover the cause of abnormality"), AND(a2≥

[0147] 1, “the cause of the abnormality is found”), AND(a3≥1, “the cause of the abnormality is found”), …, AND(an≥1, “the cause of the abnormality is found”)]}(4)

[0148] Among them, a1 is the first abnormal cause under the troubleshooting dimension a.

[0149] Check the abnormal duplicate data evaluation result E of dimension a a Score E a , can be obtained by the following formula:

[0150] E a , =SUM(a1:an) (5)

[0151] In the second specific implementation mode, the screening of abnormal data, data evaluation and corresponding countermeasures are illustrated in combination with Table 4.

[0152] Table 4: Reference table for investigation dimensions of abnormal reasons for repeated data in adhesion test with a hundred-grid knife

[0153]

[0154] From the above content, it can be seen that the repeated data are extracted for cause investigation and analysis, and the risk abnormal event type is confirmed from multiple investigation dimensions such as personnel, equipment, methods, utensils and reagent consumables, environment, and transportation process involved in the risk source. According to the type of risk abnormal event, the possible causes of the abnormality are indexed and checked one by one until the analysis and investigation of all possible causes are completed, and it is determined whether the repeated data are multiple inevitable results caused by the root cause. When the abnormal evaluation score is ≥1 point, the cause of the abnormality will be found in the repeated data, and it should be eliminated from the risk monitoring data, and risk response measures should be formulated for the root cause. In this way, a round of risk screening can be carried out before the risk level evaluation, further improving the accuracy, comprehensiveness and effectiveness of the laboratory's risk management.

[0155] Of course, after the abnormal data is raised, risk monitoring data can be continuously collected to verify the rectification effect. After completing the above abnormal data screening, continue with the following risk level evaluation steps for the packaging materials to be tested.

[0156] Table 5: Reference table of risk impact levels for packaging materials to be tested

[0157]

[0158] For the packaging materials to be tested, the relevant target dimensions are laboratory personnel safety and cost accounting.

[0159] In laboratory risk management, the target dimensions of the impact of the packaging materials to be tested only set the safety of laboratory personnel and cost accounting, and did not select other dimensions such as enterprise scores and testing cycles. This is because the risks posed by the packaging materials to be tested to other dimensions such as enterprise scores and testing cycles are not great, and it is not meaningful to use the relevant risk monitoring data of other dimensions to calculate the risk level. Instead, it makes laboratory risk management more complicated and the risk level evaluation less accurate. Therefore, the target dimensions of the impact of the packaging materials to be tested only set the safety of laboratory personnel and cost accounting, which can improve the efficiency and effectiveness of laboratory risk management.

[0160] It is understandable that the risk monitoring data of the packaging materials to be tested not only includes the corresponding risk impact degree reference table (such as Table 5), but also includes the first risk occurrence reference table corresponding to the packaging materials to be tested (such as Table 6) and the second risk occurrence reference table corresponding to the packaging materials to be tested (such as Table 7). Among them, the first risk occurrence reference table (with 365 days as a reference cycle) contains scores corresponding to different levels of risk occurrence frequency, which are used to compare with the risk occurrence frequency in order to obtain the risk occurrence degree corresponding to the risk occurrence frequency. The second risk occurrence reference table includes scores corresponding to different levels of risk occurrence probability, which are used to compare with the risk occurrence probability in order to obtain the risk occurrence degree corresponding to the risk occurrence probability.

[0161] Table 6: Reference table for the first risk occurrence of packaging materials to be tested

[0162] Risk frequency level Points Occurs ≥1 time per day or continuously or F1 ≥100% 10 Occurs ≥1 time per week or 100%>F1≥14% 6 Occurrence ≥1 time per month or 14%>F1≥3% 3 Occurrence ≥1 time per quarter or 3%>F1≥1% 2 Occurrence ≥1 time per year or F1 < 1% 1

[0163] Table 7: Reference table for the occurrence of the second risk of packaging materials to be tested

[0164] Risk probability level Points Almost certain (P1 ≥ 95%) 10 Very likely (95%>P1≥50%) 6 Possible (50%>P1≥20%) 3 Unlikely (20% > P1 ≥ 5%) 1 Very small or no occurrence (P1 < 5%) 0.5

[0165] After obtaining the risk monitoring data of the packaging material to be tested, the risk impact sub-data of the risk monitoring data under each target dimension is compared with the corresponding risk impact degree reference table (such as Table 5) to obtain the risk impact score of each target dimension, and then the following step 122 is performed.

[0166] Step 122: Determine the risk impact degree of the object to be evaluated based on the risk impact score of the object to be evaluated under each target dimension, which may specifically include:

[0167] Using the formula:

[0168] S1=max{S 11 ,…S i1 , …, S M1} (6)

[0169] Determine the risk impact degree of the packaging material to be tested; where S1 is the risk impact degree of the packaging material to be tested; S i1 is the risk impact score of the packaging material to be tested in the i-th target dimension; M1 is the total number of target dimensions of the packaging material to be tested (see Table 5).

[0170] Step 130: Based on the number of times the risk occurs, the risk occurrence degree is calculated, which may specifically include: using the formula:

[0171]

[0172] Calculate the frequency of risk occurrence of the packaging material to be tested; where P is the frequency of risk occurrence of the packaging material to be tested, and T is the preset time period;

[0173] Using the formula:

[0174]

[0175] The risk probability of the packaging material to be tested is calculated; wherein P1 is the risk probability of the packaging material to be tested, H is the preset number of risk monitoring times within a preset time period, and N1 is the number of risk occurrences of the packaging material to be tested within the preset time period.

[0176] Determine the risk occurrence degree of the packaging materials to be tested based on the risk occurrence probability and risk occurrence frequency of the packaging materials to be tested.

[0177] After obtaining the risk occurrence frequency of the packaging material to be tested, the risk occurrence frequency is compared with the first risk occurrence reference table of the packaging material to be tested to obtain a risk occurrence score corresponding to the risk occurrence frequency.

[0178] After obtaining the risk occurrence probability of the packaging material to be tested, the risk occurrence probability is compared with a second risk occurrence reference table of the packaging material to be tested to obtain a risk occurrence score corresponding to the risk occurrence probability.

[0179] The product of the risk occurrence score corresponding to the risk occurrence frequency and the risk occurrence score corresponding to the risk occurrence probability is determined as the risk occurrence degree of the packaging material to be tested.

[0180] Furthermore, step 140 is specifically as follows: based on the product of the risk occurrence degree of the packaging material to be detected and the risk impact degree of the packaging material to be detected, the risk level of the packaging material to be detected is determined.

[0181] In step 140, the product of the risk occurrence degree of the packaging material to be tested and the risk impact degree of the packaging material to be tested is determined as the risk assessment result of the packaging material to be tested, and the risk assessment result is compared with the risk identification level reference data of the packaging material to be tested to determine the risk level of the packaging material to be tested.

[0182] For reference data on risk identification levels of packaging materials to be tested, you can refer to the pre-set risk identification levels of the laboratory safety management system: Level 1 risk (risk assessment result <20 points), Level 2 risk (20 <risk assessment result ≤70 points), Level 3 risk (70 <risk assessment result ≤160 points), Level 4 risk (160 <risk assessment result ≤320 points), and Level 5 risk (risk assessment result >320 points).

[0183] From the above content, it can be seen that when evaluating the risk level of the packaging materials to be tested, three influencing factors, namely, risk impact degree, risk probability and risk frequency, are used as the evaluation basis. First, because the target dimensions of the packaging materials to be tested are relatively few, only including the safety of laboratory personnel and cost accounting. Second, because the packaging materials to be tested are not frequently exposed to dangerous testing environments, the risk occurrence degree only considers the risk occurrence frequency, which is not conducive to the comprehensiveness of risk assessment. Therefore, the risk occurrence degree considers the two influencing factors of risk probability and risk occurrence frequency, which is conducive to more comprehensive risk management of packaging material testing, and can also improve the effectiveness of risk management of packaging material testing, and ultimately improve the comprehensiveness and effectiveness of laboratory risk management.

[0184] In the third specific implementation mode, the object to be evaluated is the pH value to be measured, and its related target dimensions include the detection quality and the safety of the experimenter.

[0185] In the risk assessment of methods such as pH determination, since the risk event cycle of experimental methods is relatively short, the detection cycle is not considered in the target dimension. The detection quality and safety of laboratory personnel are more relevant to pH determination. The relevant risk monitoring data of other dimensions are of little significance for calculating risk levels. Instead, it makes laboratory risk management more complicated and risk level assessment less accurate. Therefore, the target dimension of the pH value to be tested only sets laboratory personnel safety and detection quality, which can directly improve the risk management effectiveness of laboratory method risk assessment, thereby improving the laboratory's risk management efficiency and risk management effectiveness.

[0186] After obtaining the risk monitoring data of the pH value to be measured, the risk impact sub-data of the risk monitoring data of the pH value to be measured under each target dimension is compared with the corresponding risk impact degree reference table (such as Table 2) to obtain the risk impact score of each target dimension, and then the following step 122 is performed.

[0187] Step 122: Based on the risk impact score of the object to be evaluated under each target dimension, determine the risk impact degree of the object to be evaluated, including:

[0188] Using the formula:

[0189]

[0190] Determine the risk impact degree of the pH value to be measured; wherein S3 is the risk impact degree of the pH value to be measured; S i3 is the risk impact score of the pH value to be measured in the i-th target dimension; ω i is the weight of the i-th target dimension; M3 is the total number of target dimensions whose pH values ​​are to be measured. i The weight of the i-th target dimension can be pre-set.

[0191] As mentioned above, in the risk assessment of experimental methods such as pH determination, since factors related to the experimental methods are relatively important, the weighted evaluation method can take into account the evaluation of each target dimension and improve the comprehensiveness of risk management.

[0192] See Table 8. For example, among the four risk sources, "the pH meter was not preheated for 30 minutes", "the sample was not mixed before testing", "the equipment was not calibrated", "the personnel read the data when the pH equipment result was not stable", and "the sample did not completely immerse the electrode", the risk impact score of each risk source is S3==3×50%+1×50%=2 points. The risk impact score of "the pH electrode was not cleaned or the washing water was not dried" is S=2×50%+1×50%=1.5 points. The risk impact score of "the personnel did not wear protective gloves during the experimental operation" is S=1×50%+2×50%=1.5 points, and the risk impact score of "the equipment was not calibrated with standard buffer or the sample pH was not within the standard buffer range" is S=4×50%+1×50%=2.5 points.

[0193] Table 8: Risk identification and response table during pH determination (direct determination method)

[0194]

[0195]

[0196] Step 130: Calculate the risk occurrence degree based on the number of risk occurrences, which may specifically include:

[0197] Using the formula:

[0198]

[0199] The risk probability of the pH value to be measured is calculated; wherein E3 is the risk probability of the pH value to be measured, and N1 is the number of times the risk of the pH value to be measured occurs;

[0200] Based on the risk occurrence probability of the pH value to be measured, the risk occurrence degree of the pH value to be measured is determined.

[0201] Table 9: Reference table of risk occurrence of pH values ​​to be measured

[0202] Risk probability level Points Scoring rules (T based on total number of times) Almost certainly 5 P3≥95％ Very likely 4 95％>P3≥50％ Very likely 3 50％>P3≥20％ Very likely 2 20％>P3≥5％ Very likely 1 P3<5％

[0203] See Table 9: "The sample was not mixed before testing" P3 = 60%, 4 points; "The pH meter was not turned on and preheated for 30 minutes", "The pH electrode was not cleaned or the washing water was not absorbed dry" P3 = 10%, 2 points; "The staff did not wear protective gloves during the experiment" and "The sample did not completely immerse the electrode" P3 = 5%, 2 points; "The equipment was not calibrated", "The equipment was not calibrated with standard buffer or the sample pH was not within the standard buffer range" and "The staff read the data when the pH equipment result was not stable" P3 = 0%, 1 point.

[0204] The risk assessment result score is obtained according to the risk identification level standard of the set pH value to be tested, see Table 8.

[0205] From the above content, it can be seen that for the pH value to be tested, when evaluating the risk level of the pH value material to be tested, two influencing factors, risk impact degree and risk occurrence probability, are used as the evaluation basis. First, the weighted average calculation method in the risk impact degree is adopted because in the risk evaluation of experimental methods such as pH value determination, since the factors related to the experimental method are relatively important, taking the evaluation of each target dimension into consideration can improve the comprehensiveness of risk management; second, the risk occurrence probability is used as the risk occurrence degree because the actual occurrence frequency of the pH value determination to be tested is too high, and there is no need to consider the risk occurrence frequency as a factor, which is conducive to more efficient risk management of the pH value to be tested, thereby improving the effectiveness of risk management of the pH value to be tested, and ultimately improving the comprehensiveness and effectiveness of laboratory risk management.

[0206] According to the risk assessment result score and the risk identification level standard (risk level assessment reference data) of the measured pH value set, it can be known from Table 8 that the risk assessment result of "not mixing evenly before sample testing" in the detection and analysis work is 6 < R ≤ 10 points, belonging to the third-level risk; the risk assessment result scores of the risk sources of "equipment not calibrated" and "personnel reading data when the pH equipment result is not stable" are ≤ 2 points, belonging to the first-level risk, and the risk assessment result scores of other risk sources are 2 < R ≤ 6 points, belonging to the second-level risk. For the first-level risk, the countermeasure is to maintain the status quo. For the second-level risk, it is an acceptable risk and no countermeasures need to be taken to maintain the status quo. For the third-level risk, the countermeasure is to formulate risk control measures: add the experimental operation requirement of "mixing evenly before sample testing" in the operation guide of the pH test method. See Table 8. According to the formulated risk control measures, 1 key risk control point on-site for pH testing is obtained: monitor whether the sample is mixed evenly before pH testing. See Table 8.

[0207] In summary, in the laboratory risk management system, according to the differences of the objects to be evaluated, that is, according to the different major categories of risk events to which the objects to be evaluated belong, different risk level evaluation strategies are adopted for the risk level evaluation of the objects to be evaluated. The advantages of doing so are: first, the risk evaluation strategy for each object to be evaluated is accurate and appropriate; second, it is efficient, effective and comprehensive for the overall laboratory risk management. Moreover, the risk level evaluation method provided by the embodiments of the present invention can show the importance of various risk factors in the daily work of the laboratory, highlight the key control points, and the evaluation results are given in the form of quantitative values, which can be specific to the implementation operation points, easy for personnel to understand, simple and easy to promote, and can correctly and normatively guide personnel to carry out the daily management work of the laboratory management system, and the implementation effect is good.

[0208] Next, the risk level evaluation device provided by the present invention will be described. The risk level evaluation device described below can be correspondingly referred to the risk level evaluation method described above.

[0209] As Figure 3 shown, the embodiments of the present invention also provide a risk level evaluation device for a laboratory, which is used to implement the risk level evaluation method for a laboratory in any of the above embodiments. The risk level evaluation device for the laboratory may include:

[0210] An acquisition module 310, configured to acquire risk monitoring data of an object to be evaluated; the object to be evaluated includes at least a package to be detected, a sample to be managed, and a pH value to be measured; the risk monitoring data includes at least risk impact data of the object to be evaluated in different target dimensions and the number of occurrences of risks of the object to be evaluated.

[0211] The first calculation module 320 is used to calculate the risk impact degree of the object to be evaluated based on the target dimension and the risk impact data; the target dimension includes at least one or more of the safety of laboratory personnel, detection cycle, detection quality, cost accounting and enterprise score;

[0212] The second calculation module 330 is used to calculate the risk occurrence degree based on the number of risk occurrences;

[0213] The determination module 340 is used to determine the risk level of the object to be evaluated based on the risk impact degree and the risk occurrence degree.

[0214] Optionally, the risk monitoring data also includes a reference table of risk impact levels corresponding to the object to be evaluated; the reference table of risk impact levels includes risk impact scores corresponding to different levels of the object to be evaluated under different target dimensions;

[0215] The first calculation module 320 is specifically used for:

[0216] Based on the risk impact data and the risk impact degree reference table, determine the risk impact score of the object to be evaluated in each target dimension;

[0217] Determine the risk impact degree of the object to be evaluated based on the risk impact score of the object to be evaluated in each target dimension.

[0218] Optionally, when the object to be evaluated is the packaging material to be tested, the target dimensions include safety of laboratory personnel and cost accounting;

[0219] The first calculation module 320 is specifically used for:

[0220] Using the formula:

[0221] S1=max{S 11 ,…S i1 , …, S M1}

[0222] Determine the risk impact degree of the packaging material to be tested; where S1 is the risk impact degree of the packaging material to be tested; S i1 is the risk impact score of the packaging material to be tested in the i-th target dimension; M1 is the total number of target dimensions of the packaging material to be tested;

[0223] The second calculation module 330 is specifically used for:

[0224] Using the formula:

[0225]

[0226] Calculate the frequency of risk occurrence of the packaging material to be tested; where P is the frequency of risk occurrence of the packaging material to be tested, and T is the preset time period;

[0227] Using the formula:

[0228]

[0229] Calculate the risk probability of the packaging material to be tested; where P1 is the risk probability of the packaging material to be tested, H is the preset number of risk monitoring times within a preset time period, and N1 is the number of risk occurrences of the packaging material to be tested within the preset time period;

[0230] Determine the risk occurrence degree of the packaging materials to be tested based on the risk occurrence probability and risk occurrence frequency of the packaging materials to be tested.

[0231] Optionally, when the object to be evaluated is a sample to be managed, the target dimensions include safety of laboratory personnel, testing cycle, testing quality, cost accounting, and enterprise scoring;

[0232] The first calculation module 320 is specifically used for:

[0233] Using the formula:

[0234] S2=max{S 12 ,…S i2 , …, S M2}

[0235] Determine the risk impact of the sample to be managed; where S2 is the risk impact of the sample to be managed; S i2 is the risk impact score of the sample to be managed in the i-th target dimension; M2 is the total number of target dimensions of the samples to be managed;

[0236] The second calculation module 330 is specifically used for:

[0237] Using the formula:

[0238]

[0239] Calculate the frequency of risk occurrence of the sample to be managed; where F2 is the frequency of risk occurrence of the sample to be managed, and N2 is the number of times the risk occurs in the sample to be managed within a preset time period;

[0240] Based on the risk occurrence frequency of the samples to be managed, the risk occurrence degree of the samples to be managed is determined.

[0241] Optionally, when the object to be evaluated is the pH value to be measured; the target dimensions include the quality of the test and the safety of the experimenter;

[0242] The first calculation module 320 is specifically used for:

[0243] Using the formula:

[0244]

[0245] Determine the risk impact degree of the pH value to be measured; wherein S3 is the risk impact degree of the pH value to be measured; S i3 is the risk impact score of the PH value to be measured in the i-th target dimension; M3 is the total number of target dimensions of the PH value to be measured;

[0246] The second calculation module 330 is specifically used for:

[0247] Using the formula:

[0248]

[0249] The risk probability of the pH value to be measured is calculated; wherein E3 is the risk probability of the pH value to be measured, and N1 is the number of times the risk of the pH value to be measured occurs;

[0250] Based on the risk occurrence probability of the pH value to be measured, the risk occurrence degree of the pH value to be measured is determined.

[0251] Optionally, before calculating the risk impact degree score based on the target dimension and the risk impact data, the device is further used to:

[0252] Extract abnormal data from risk monitoring data;

[0253] Perform data evaluation on risk monitoring data based on abnormal data to obtain data evaluation results;

[0254] If the data evaluation result indicates that the risk monitoring data is abnormal, the risk monitoring data is re-acquired or the abnormal data is eliminated.

[0255] Optionally, the abnormal data includes repeated data; repeated data is data in which a certain event occurs repeatedly within a preset time period;

[0256] The device is also specifically used to: for repeated data, investigate the abnormal causes one by one from multiple pre-set investigation dimensions; the multiple investigation dimensions at least include personnel, equipment, environment and transportation process;

[0257] If the abnormal reason is established, the record score is 1 point, if the abnormal reason is not established, the record score is 0 point;

[0258] Sum up all the record scores to get the sum result corresponding to each screening dimension;

[0259] If the sum of any of the troubleshooting dimensions is greater than or equal to 1 point, the data evaluation result will be marked as finding the cause of the abnormality.

[0260] On the other hand, the present invention further provides a non-transitory computer-readable storage medium, in which instructions are stored. When the instructions are executed, any of the above embodiments is implemented.

[0261] Although the present invention is described herein in conjunction with various embodiments, in the process of implementing the claimed invention, those skilled in the art may understand and implement other variations of the disclosed embodiments by viewing the drawings, the disclosure, and the appended claims. In the claims, the word "comprising" does not exclude other components or steps, and "one" or "an" does not exclude multiple situations. A single processor or other unit may implement several functions listed in the claims. Certain measures are recorded in different dependent claims, but this does not mean that these measures cannot be combined to produce good results.

[0262] Although the present invention has been described in conjunction with specific features and embodiments thereof, it is apparent that various modifications and combinations may be made thereto without departing from the spirit and scope of the present invention. Accordingly, this specification and the accompanying drawings are merely exemplary illustrations of the present invention as defined by the appended claims and are deemed to cover any and all modifications, variations, combinations or equivalents within the scope of the present invention. Obviously, those skilled in the art may make various modifications and variations to the present invention without departing from the spirit and scope of the present invention. Thus, the present invention is intended to include such modifications and variations if they fall within the scope of the claims of the present invention and their equivalents.

Claims

1. A laboratory risk level evaluation method, characterized in that: include: Obtain risk monitoring data of the object to be evaluated; The objects to be evaluated include at least the packaging materials to be tested, the samples to be managed and the pH values ​​to be measured; The risk monitoring data at least includes the risk impact data of the object to be evaluated under different target dimensions and the number of times the risk of the object to be evaluated occurs; Based on the target dimension and the risk impact data, the risk impact degree of the object to be evaluated is calculated; the target dimension includes at least one or more of the safety of laboratory personnel, detection cycle, detection quality, cost accounting and enterprise score; Based on the number of times the risk occurs, the risk occurrence degree is calculated; Based on the risk impact degree and the risk occurrence degree, the risk level of the object to be evaluated is determined.

2. The risk level evaluation method for a laboratory according to claim 1, characterized in that: The risk monitoring data also includes a reference table of risk impact levels corresponding to the object to be evaluated; the reference table of risk impact levels includes risk impact scores corresponding to different levels of the object to be evaluated under different target dimensions; The step of calculating the risk impact degree of the object to be evaluated based on the target dimension and the risk impact data includes: Based on the risk impact data and the risk impact degree reference table, determine the risk impact score of the object to be evaluated under each target dimension; Based on the risk impact score of the object to be evaluated in each target dimension, the risk impact degree of the object to be evaluated is determined.

3. The risk level evaluation method for a laboratory according to claim 2, characterized in that: When the object to be evaluated is the packaging material to be tested, the target dimensions include the safety of the experimenter and the cost accounting; Determining the risk impact degree of the object to be evaluated based on the risk impact score of the object to be evaluated in each target dimension includes: Using the formula: S1=max{S 11 ,…S i1 ,…,S M1 } Determine the risk impact degree of the packaging material to be tested; wherein S1 is the risk impact degree of the packaging material to be tested; S i1 is the risk impact score of the packaging material to be tested in the i-th target dimension; M1 is the total number of target dimensions of the packaging material to be tested; The calculating the risk occurrence degree based on the risk occurrence times includes: Using the formula: Calculate the frequency of risk occurrence of the packaging material to be tested; wherein P is the frequency of risk occurrence of the packaging material to be tested, and T is a preset time period; Using the formula: Calculate the probability of risk occurrence of the packaging material to be tested; wherein P1 is the probability of risk occurrence of the packaging material to be tested, H is the preset number of risk monitoring times within the preset time period, and N1 is the number of risk occurrences of the packaging material to be tested within the preset time period; The risk occurrence degree of the packaging material to be detected is determined based on the risk occurrence probability of the packaging material to be detected and the risk occurrence frequency of the packaging material to be detected.

4. The risk level evaluation method for a laboratory according to claim 3, characterized in that: When the object to be evaluated is the sample to be managed, the target dimensions include the safety of the experimenter, the detection cycle, detection quality, cost accounting and enterprise score; Determining the risk impact degree of the object to be evaluated based on the risk impact score of the object to be evaluated in each target dimension includes: Using the formula: S2=max{S 12 ,…S i2 ,…,S M2 } Determine the risk impact degree of the sample to be managed; wherein S2 is the risk impact degree of the sample to be managed; S i2 is the risk impact score of the sample to be managed in the i-th target dimension; M2 is the total number of target dimensions of the sample to be managed; The calculating the risk occurrence degree based on the risk occurrence times includes: Using the formula: Calculate the frequency of risk occurrence of the sample to be managed; wherein F2 is the frequency of risk occurrence of the sample to be managed, and N2 is the number of times the risk of the sample to be managed occurs within the preset time period; Based on the risk occurrence frequency of the sample to be managed, the risk occurrence degree of the sample to be managed is determined.

5. The laboratory risk level evaluation method according to claim 3, characterized in that: When the object to be evaluated is the pH value to be measured; the target dimensions include the detection quality and the safety of the experimenter; Determining the risk impact degree of the object to be evaluated based on the risk impact score of the object to be evaluated in each target dimension includes: Using the formula: Determine the risk impact degree of the pH value to be determined; wherein S3 is the risk impact degree of the pH value to be determined; S i3 is the risk impact score of the pH value to be measured in the i-th target dimension; ω i is the weight of the i-th target dimension; M3 is the total number of target dimensions of the pH value to be determined; The calculating the risk occurrence degree based on the risk occurrence times includes: Using the formula: Calculate the risk probability of the pH value to be measured; wherein E3 is the risk probability of the pH value to be measured, and N1 is the number of times the risk of the pH value to be measured occurs; Based on the risk occurrence probability of the pH value to be determined, the risk occurrence degree of the pH value to be determined is determined.

6. The method for evaluating the risk level of a laboratory according to claim 1, characterized in that: Before calculating the risk impact degree score based on the target dimension and the risk impact data, the method further includes: Extracting abnormal data from the risk monitoring data; Performing data evaluation on the risk monitoring data based on the abnormal data to obtain a data evaluation result; If the data evaluation result indicates that the risk monitoring data is abnormal, the risk monitoring data is reacquired or the abnormal data is eliminated.

7. The method for evaluating the risk level of a laboratory according to claim 6, characterized in that: The abnormal data includes repeated data; the repeated data is data of a certain event that occurs repeatedly within a preset time period; The performing data evaluation on the risk monitoring data based on the abnormal data to obtain a data evaluation result includes: For the duplicate data, the abnormal causes are investigated one by one from multiple pre-set investigation dimensions; the multiple investigation dimensions at least include personnel, equipment, environment and transportation process; If the abnormal reason is established, the record score is 1 point, if the abnormal reason is not established, the record score is 0 point; Sum up all the record scores to get the sum result corresponding to each screening dimension; If the sum of any of the screening dimensions is greater than or equal to 1 point, the data evaluation result is marked as finding the cause of the abnormality.

8. The method for evaluating the risk level of a laboratory according to claim 1, characterized in that: Also includes: Based on the risk level, risk prevention and control measures are generated.

9. A laboratory risk level assessment device, characterized in that: include: An acquisition module is used to acquire risk monitoring data of the object to be evaluated; The objects to be evaluated include at least the packaging materials to be tested, the samples to be managed and the pH values ​​to be measured; The risk monitoring data at least includes the risk impact data of the object to be evaluated under different target dimensions and the number of times the risk of the object to be evaluated occurs; A first calculation module is used to calculate the risk impact degree of the object to be evaluated based on the target dimension and the risk impact data; the target dimension includes at least one or more of the safety of laboratory personnel, detection cycle, detection quality, cost accounting and enterprise score; A second calculation module is used to calculate the risk occurrence degree based on the number of risk occurrences; The determination module is used to determine the risk level of the object to be evaluated based on the risk impact degree and the risk occurrence degree.

10. A computer storage medium, characterized in that: Instructions are stored in the computer storage medium, and when the instructions are executed, the laboratory risk level evaluation method described in any one of claims 1 to 8 is implemented.

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