Laboratory management platform and management method

Abstract

The invention discloses a management platform and a management method for a laboratory. The method comprises the following steps: acquiring an environment-related data set and an equipment-related data set of a target laboratory; according to the environment related data set, calculating an environment state index representing environment quality of the target laboratory; according to the equipment related data set, calculating an equipment state index representing the equipment operation stability degree of the target laboratory; and according to the environment state index and the equipment state index, determining an overall state index and a state level of the target laboratory so as to be used for management of the target laboratory. According to the embodiment of the invention, the method can achieve the evaluation and management of the overall operation condition of the laboratory, guarantees the stable operation of laboratory equipment, guarantees the high-quality state of the environment, and improves the overall management efficiency of the laboratory.

Description

Technical Field

[0001] The invention belongs to the technical field of data management, and in particular to a management platform and a management method for a laboratory. Background Art

[0002] With the continuous development of modern scientific research and technological progress, laboratories, as one of the infrastructures in scientific research, teaching and industry, play a vital role. Laboratories usually involve multiple high-precision and high-complexity equipment and need to conduct experiments and research under specific environmental conditions. Therefore, how to effectively manage laboratory resources and ensure the stable operation of equipment and the high-quality state of the environment has become an important topic in the field of laboratory management.

[0003] Traditional laboratory management methods mainly rely on manual inspections and records, and evaluate equipment status, environmental conditions, and the overall operation of the laboratory through manual observation and subjective judgment. This method not only relies on the experience of the staff, but is also prone to information errors and inaccurate management due to subjective factors and improper operation. It cannot reflect the real-time changes of equipment and environment in real time, has low management efficiency, and is not conducive to the long-term development of the laboratory. Summary of the invention

[0004] The purpose of the present invention is to provide a management platform and management method for laboratories to address the deficiencies in the prior art, to enable evaluation and management of the overall operating conditions of the laboratory, to ensure the stable operation of laboratory equipment and the high-quality state of the environment, and to improve the overall management efficiency of the laboratory.

[0005] An embodiment of the present application provides a management method for a laboratory, the method comprising: Collect environment-related data sets and equipment-related data sets of the target laboratory; Calculating an environmental status index representing environmental quality of the target laboratory according to the environment-related data set; Calculating, according to the equipment-related data set, an equipment status index representing the degree of equipment operation stability of the target laboratory; According to the environment status index and the equipment status index, the overall status index of the target laboratory and its status level are determined for use in the management of the target laboratory.

[0006] Optionally, the calculation formula of the environmental status index is: Among them, the is the environmental status index, is the current value of the i-th environmental factor, is the optimal reference value of the i-th environmental factor, is the weight coefficient of the i-th environmental factor, is the index adjustment coefficient of the i-th environmental factor, is the trend assessment value of the i-th environmental factor, which is obtained by performing regression analysis on the changes of the environmental factor over a period of time to measure its rate of increase or decrease. is the trend adjustment coefficient of the ith environmental factor, and m is the total number of environmental factors.

[0007] Optionally, the calculation formula of the device status index is: Wherein, A is the working time of the equipment, t is the use period of the equipment, is the number of equipment failures, T is the current temperature of the equipment, C is the equipment load rate, P is the number of equipment maintenance times, R is the remaining service life ratio of the equipment, is the equipment health decay function, is the composite influence function of temperature and failure rate on equipment stability. The maximum number of maintenance times recommended for the equipment is , , It is a nonlinear function of different equipment status factors.

[0008] Optionally, the for:

[0009] Among them, the is a weight associated with the device type, and k is an exponent of the device decay rate.

[0010] Optionally, the , , They are:

[0011] Among them, the is the weight coefficient of the equipment life cycle;

[0012] Among them, the is the weight of the current temperature of the device. is the weight of the number of equipment failures;

[0013] Optionally, the for:

[0014] Among them, the is the equipment failure weight, is the sensitivity of temperature to device failure.

[0015] Optionally, determining the overall status index and status level of the target laboratory according to the environment status index and the equipment status index includes: Performing a weighted summation on the environment status index and the equipment status index to obtain an overall status index of the target laboratory; According to a pre-constructed mapping table of the relationship between the overall state index and the state level of the laboratory, the state level corresponding to the overall state index is determined.

[0016] Another embodiment of the present application provides a management platform for a laboratory, the platform comprising: A collection module, used to collect environment-related data sets and equipment-related data sets of the target laboratory; A first calculation module, used for calculating an environmental status index representing environmental quality of the target laboratory according to the environment-related data set; A second calculation module is used to calculate the equipment status index representing the degree of equipment operation stability of the target laboratory according to the equipment-related data set; The determination module is used to determine the overall status index and status level of the target laboratory according to the environment status index and the equipment status index, so as to be used for the management of the target laboratory.

[0017] Yet another embodiment of the present application provides a storage medium, wherein the storage medium stores a computer program, wherein the computer program is configured to execute any of the above methods when running.

[0018] Yet another embodiment of the present application provides an electronic device, including a memory and a processor, wherein the memory stores a computer program, and the processor is configured to run the computer program to execute any of the methods described above.

[0019] Compared with the prior art, the present invention provides a management method for a laboratory, which collects environment-related data sets and equipment-related data sets of a target laboratory; calculates an environment status index of the target laboratory representing the environment quality based on the environment-related data sets; calculates an equipment status index of the target laboratory representing the degree of equipment operation stability based on the equipment-related data sets; determines the overall status index and status level of the target laboratory based on the environment status index and the equipment status index, for use in the management of the target laboratory, thereby enabling the evaluation and management of the overall operating status of the laboratory to ensure the stable operation of laboratory equipment and the high-quality state of the environment, and improve the overall management efficiency of the laboratory. BRIEF DESCRIPTION OF THE DRAWINGS

[0020] Figure 1 A hardware structure block diagram of a computer terminal for a laboratory management method provided by an embodiment of the present invention; Figure 2 A schematic diagram of a process flow of a laboratory management method provided by an embodiment of the present invention; Figure 3 A schematic diagram of the structure of a management platform for laboratories provided in an embodiment of the present invention. DETAILED DESCRIPTION

[0021] The embodiments described below with reference to the accompanying drawings are exemplary and are only used to explain the present invention, but should not be construed as limiting the present invention.

[0022] The embodiment of the present invention first provides a management method for a laboratory, which can be applied to electronic equipment, such as a computer terminal, specifically a common computer, etc.

[0023] The following describes it in detail by taking running on a computer terminal as an example. Figure 1 The hardware structure block diagram of a computer terminal for a laboratory management method provided by an embodiment of the present invention. Figure 1 As shown, the computer device includes a processor, a memory, and a network interface connected via a system bus, wherein the memory may include a non-volatile storage medium and an internal memory.

[0024] The non-volatile storage medium can store an operating system and a computer program. The computer program includes program instructions, and when the program instructions are executed, the processor can execute any management method for the laboratory.

[0025] The processor is used to provide computing and control capabilities and support the operation of the entire computer equipment.

[0026] The internal memory provides an environment for the operation of the computer program in the non-volatile storage medium. When the computer program is executed by the processor, the processor can execute any management method for the laboratory.

[0027] The network interface is used for network communication, such as sending assigned tasks, etc. Those skilled in the art will understand that Figure 1 The structure shown in the figure is only a block diagram of a part of the structure related to the solution of the present application, and does not constitute a limitation on the computer device to which the solution of the present application is applied. The specific computer device may include more or fewer components than those shown in the figure, or combine certain components, or have a different arrangement of components.

[0028] It should be understood that the processor may be a central processing unit (CPU), and the processor may also be other general-purpose processors, digital signal processors (DSP), application-specific integrated circuits (ASIC), field-programmable gate arrays (FPGA) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. Among them, the general-purpose processor may be a microprocessor or the processor may also be any conventional processor, etc.

[0029] See also Figure 2 The embodiment of the present invention provides a management method for a laboratory, which may include the following steps: S201, collecting environment-related data sets and equipment-related data sets of the target laboratory; First, it is necessary to collect the environment-related data sets and equipment-related data sets of the target laboratory. The environment-related data sets include environmental factors such as temperature, humidity, air quality, lighting intensity, and air pressure in the laboratory. These factors have a direct impact on the stability of laboratory equipment and the smooth progress of experiments. The equipment-related data sets include key parameters such as equipment working hours, load, temperature, number of failures, maintenance records, and remaining service life. These data can reflect the operating status and health of the equipment. In order to ensure the accuracy and real-time nature of the data, environmental data can be collected in real time through tools such as sensors and climate monitoring equipment; equipment data can be obtained through the internal monitoring system of the equipment or the remote monitoring platform. The accurate collection of these data is the basis for the subsequent calculation of the environmental status index and the equipment status index, and can provide reliable data support for the management and optimization of the laboratory.

[0030] Collecting laboratory environment and equipment data sets can provide real-time, comprehensive and accurate information basis for the comprehensive management of the laboratory. Environmental factors such as temperature, humidity, airflow, etc. have an impact on the performance of experimental equipment and experimental results that cannot be ignored. For example, excessive temperature fluctuations will cause the error of the equipment to increase, and unstable humidity may damage the accuracy of sensitive devices. The operating status of the equipment itself, such as the number of failures, working hours and load, directly determines the availability and safety of laboratory equipment. By collecting and monitoring this data in real time, it is possible to promptly detect abnormalities in the laboratory environment or equipment, so as to respond quickly and reduce the impact of equipment failures and environmental problems on experimental research. In addition, long-term data accumulation can also be used for trend analysis to help laboratories perform preventive maintenance and environmental optimization, thereby improving equipment utilization, reducing failure rates, and ensuring efficient and safe operation of the laboratory.

[0031] In the process of collecting laboratory environment-related data, it is first necessary to install various sensors at key locations in the laboratory to monitor environmental factors such as temperature, humidity, air quality, and lighting intensity. In order to ensure the comprehensiveness and accuracy of the data, the sensors should be reasonably arranged according to the actual layout of the laboratory. For example, temperature and humidity sensors can be installed in different areas of the laboratory, especially in areas where equipment is concentrated, so that the climate conditions in the laboratory can be monitored in real time to prevent excessive temperature fluctuations or unstable humidity from affecting the experimental equipment. Air quality monitoring equipment can be installed at the vents of the laboratory and areas where airflow is more concentrated to detect the concentration of harmful gases in the laboratory in real time, such as carbon dioxide or volatile organic compounds (VOCs), to ensure that the air quality meets the experimental requirements. In addition, lighting intensity sensors can be installed in multiple locations in the laboratory, especially in those experimental areas where lighting conditions need to be highly controlled, to monitor the light intensity and ensure the uniformity and stability of the lighting in the experimental environment.

[0032] The output signal of the sensor can be uploaded to the laboratory's central monitoring system or cloud platform in real time through wireless or wired transmission. These sensors are generally equipped with high-precision data acquisition modules and connected to intelligent control systems, which can automatically collect and transmit data within a set time interval. In addition, in order to ensure the stability and accuracy of the data, a certain calibration mechanism can be set to calibrate and maintain the sensor regularly to avoid drift or misalignment of the sensor due to long-term use, thereby ensuring that the collected data can reflect the actual laboratory environment.

[0033] The collection of equipment-related data sets is mainly completed through the built-in sensors and remote monitoring systems of various equipment in the laboratory. These equipment sensors can monitor and record key parameters such as the equipment's working hours, load rate, operating temperature, number of failures, maintenance records, etc. in real time. For example, large equipment in the laboratory (such as temperature control equipment, reactors, etc.) can be equipped with real-time monitoring sensors to monitor the operating temperature and load conditions of the equipment. The working hours and load rates can be automatically generated through the equipment's internal usage record system, while the temperature is collected in real time through precise temperature sensors. The number of failures and maintenance records can also be tracked through the equipment's intelligent management platform. These systems are usually connected to the equipment's operation log and can automatically record equipment failure events, maintenance dates, maintenance content and other information, providing a reliable data source for subsequent analysis and early warning.

[0034] All of this equipment data will be transmitted to the laboratory's central data management platform through the Internet of Things technology. The platform connects to various intelligent terminals of equipment in the laboratory to achieve real-time monitoring of equipment status and automatically generate equipment status reports based on the use of the equipment. For example, if the temperature of a device continues to rise or the load exceeds the set range, the system can use data analysis algorithms to determine the possible failure risk of the equipment and issue early warnings in a timely manner to remind managers to inspect and maintain it. For the health status of the equipment, the system will combine the historical data of the equipment, such as the number of failures, working hours, etc., to conduct a health assessment, thereby providing a decision-making basis for whether the equipment needs maintenance or replacement.

[0035] S202, calculating an environmental status index representing environmental quality of the target laboratory according to the environment-related data set; The Environmental State Index (ESI) of the target laboratory is calculated based on the environment-related data set, aiming to quantify the quality of the laboratory environment in order to better understand its impact on experimental activities. The environmental state index reflects whether the environmental conditions of the laboratory meet the ideal experimental requirements through a comprehensive evaluation of multiple environmental factors (such as temperature, humidity, air quality, etc.). Each environmental factor has a ratio of the current value to the optimal reference value. This ratio is adjusted by weight and index to accurately evaluate the impact of each factor, and consider the changing trend of the factors, and finally calculate a comprehensive environmental quality indicator. Through this index, the environmental conditions of the laboratory can be grasped in real time to ensure the reliability of the experiment and the accuracy of the experimental data.

[0036] The significance of calculating the environmental status index is that it provides a tool to quantify the quality of the laboratory environment and help laboratory managers monitor the stability and suitability of the environment in real time. Changes in environmental factors, especially temperature, humidity, air quality, etc., have a significant impact on the experimental process and experimental results. Through the dynamic calculation and trend analysis of the environmental status index, it is possible to promptly identify environmental instability or non-compliance with standards, take measures to adjust and optimize, thereby ensuring that the laboratory environment is always maintained in an ideal state and maximizing the quality and efficiency of the experiment.

[0037] Specifically, a calculation formula for an environmental status index may be: The calculation formula is designed to accurately evaluate the environmental quality of the target laboratory. The formula comprehensively calculates the environmental health index through weighted processing and trend evaluation of multiple environmental factors.

[0038] Among them, the The environmental status index is a comprehensive index that reflects the quality of the laboratory environment. It is used to measure the degree of closeness between the current laboratory environment and the optimal environmental state. The higher the value, the closer the laboratory environment is to the ideal state. is the current value of the i-th environmental factor, is the optimal reference value of the i-th environmental factor, is the weight coefficient of the i-th environmental factor, is the index adjustment coefficient of the i-th environmental factor, is the trend assessment value of the i-th environmental factor, obtained by regression analysis of the changes of the environmental factor over a period of time, to measure its rate of increase or decrease; obtained by regression analysis of the changes of the environmental factor over a period of time. This value is used to measure the rate of change of the environmental factor in the time dimension, that is, whether the factor is rising or falling, and how fast it changes, reflecting the dynamic changes of the environmental factor. is the trend adjustment coefficient of the ith environmental factor, and m is the total number of environmental factors.

[0039] This formula can dynamically and accurately reflect the environmental quality of the laboratory by comparing the current state of each environmental factor with the optimal state and evaluating its changing trend. The weighted processing in the formula ensures that the contribution of each environmental factor to the overall environmental state is reasonable, and the index adjustment and trend adjustment make the calculation results more in line with the actual law of environmental change. In short, through comprehensive analysis of multiple factors and dimensions, this formula can provide an accurate and flexible environmental quality assessment tool to help laboratory managers understand and optimize the experimental environment in real time.

[0040] S203, calculating, based on the equipment-related data set, an equipment status index representing the degree of equipment operation stability of the target laboratory; The equipment status index of the target laboratory is calculated based on the equipment-related data set, with the aim of quantitatively evaluating the operational stability of all equipment in the laboratory. The equipment status index measures the health of the equipment through a comprehensive analysis of multiple equipment parameters, including the equipment's operating hours, number of failures, temperature, load rate, maintenance history, etc. The status of each device is calculated through a series of nonlinear functions to accurately reflect the current health of the device. Through the combination of weights and functions, the system can dynamically evaluate the stability of the equipment and generate a comprehensive index to help laboratory managers promptly identify potential failure risks of the equipment and take measures to maintain or replace it.

[0041] The significance of calculating the equipment status index is that it provides a quantitative assessment tool for the health management of laboratory equipment. The stability of laboratory equipment directly affects the accuracy and safety of the experiment, especially when the equipment fails or the performance declines, it may cause distortion or delay of the experimental results. Through the equipment status index, laboratory managers can promptly identify equipment operation problems, perform preventive maintenance, reduce equipment failure rate, improve equipment utilization, ensure that laboratory equipment is always in the best working condition, and thus improve experimental efficiency and safety.

[0042] Specifically, a calculation formula for the device status index may be: Wherein, A is the working time of the equipment, t is the use period of the equipment, is the number of equipment failures, T is the current temperature of the equipment, C is the equipment load rate, P is the number of equipment maintenance times, R is the remaining service life ratio of the equipment, is the equipment health decay function, is the composite influence function of temperature and failure rate on equipment stability. The maximum number of maintenance times recommended for the equipment is , , It is a nonlinear function of different equipment status factors.

[0043] The purpose of the formula is to calculate the stability index of the equipment by weighted combination of multiple equipment status factors (such as working hours, number of failures, temperature, load, etc.). This design takes into account the different characteristics of equipment use and derives a comprehensive equipment status index through the synergy of multiple functions and parameters. Specifically: D: Device status index, which indicates the overall operating stability and health of the device. The higher the value, the more stable the device's operating status and the better its health.

[0044] w_1, w_2, w_3: weight coefficients of various equipment status factors, corresponding to factors such as working hours, number of failures, load, etc. The setting of weight coefficients reflects the relative importance of each factor to equipment stability, which is usually determined through experience or data analysis.

[0045] f_1(A,t): The function of the impact of equipment working time (A) and equipment use cycle (t) on equipment status. The longer the equipment is used, the greater the possibility of failure; and the equipment use cycle affects the speed of equipment performance degradation. This function takes into account the nonlinear relationship of equipment use.

[0046] f_2(F_failure,T): Function of the impact of the number of equipment failures (F_failure) and the equipment temperature (T) on equipment stability. The more equipment failures there are, the worse the equipment stability is; and the temperature of the equipment will also affect its operating performance. Through this function, the system can adjust the stability index of the equipment according to the number of failures and temperature.

[0047] f_3(C,P,R): The impact function of equipment load rate (C), maintenance times (P) and remaining service life ratio (R) on equipment stability. The higher the equipment load, the worse the stability; the maintenance times and remaining service life reflect whether the equipment needs more frequent maintenance or is about to enter a fault state.

[0048] h(A): Device health decay function, which describes the decay rate of a device based on the device working time (A). As the device usage time increases, the stability and health of the device will decrease. The h(A) function models the device decay.

[0049] g(T,F_failure): The composite influence function of temperature and number of failures on equipment stability, taking into account the accelerating effect of temperature on equipment failure. There is a certain nonlinear relationship between equipment failure and temperature rise.

[0050] P_max: The maximum number of maintenance times recommended for the device, indicating that the device can maintain optimal operating status within the recommended maximum number of maintenance times. After exceeding this number, the health status of the device will significantly decline.

[0051] Specifically, a Can be:

[0052] Among them, the is a weight related to the device type, and k is an exponent of the device decay rate.

[0053] The purpose of the design in the formula is to describe the process of equipment degradation as the working time increases through the health degradation function. The design of this function takes into account the performance degradation of the equipment in long-term use and models it through an exponential model. Specifically: h(A): Equipment health decay function, which reflects the process of equipment health decaying gradually as the usage time (A) increases. This function adopts a nonlinear decay model, in which the parameters alpha and k control the decay rate and decay intensity respectively.

[0054] alpha: A weight associated with the device type, indicating the impact of the device type on the rate of health degradation. Different types of devices have different degradation speeds and magnitudes after long-term use. Alpha can be adjusted based on experimental data or expert experience.

[0055] k: The exponent of the device decay rate, which indicates how the decay rate changes as the device is used for a longer period of time. Usually, the decay rate of a device increases nonlinearly over time, and the choice of k can accurately control this decay process.

[0056] Specifically, nonlinear functions are used to describe the complex effects of factors such as equipment working time, number of failures, temperature, and load on equipment stability. Changes in each factor will affect the stability of the equipment in a specific nonlinear relationship. In this way, the formula achieves refined modeling of the equipment's operating status. , , They can be: Among them, the is the weight coefficient of the equipment life cycle; This function represents the relationship between the device working time (A) and the usage cycle (t). As the device working time increases, its stability decreases, while the impact of the device usage cycle decays exponentially. lambda is the weight coefficient of the device usage cycle, which is used to adjust the impact of the time factor on the stability of the device.

[0057]

[0058] Among them, the is the weight of the current temperature of the device. is the weight of the number of equipment failures; This function represents the combined effect of the number of device failures (F_failure) and the device temperature (T) on the device stability. The more failures and the higher the temperature, the worse the device stability. beta and gamma are the weight coefficients of temperature and number of failures, respectively, which are used to adjust the effect of temperature and number of failures on device stability.

[0059]

[0060] This function describes the impact of equipment load rate (C), maintenance times (P) and remaining service life ratio (R) on equipment stability. The higher the load rate, the more maintenance times and the shorter the remaining service life, the worse the equipment stability. This formula comprehensively considers the impact of load, maintenance history and remaining service life of the equipment.

[0061] Specifically, a Can be:

[0062] Among them, the is the equipment failure weight, is the sensitivity of temperature to device failure.

[0063] This formula combines the number of equipment failures and the current temperature to quantify the combined impact of these two factors on equipment stability and operating status. The importance of equipment temperature and number of failures in equipment operation cannot be ignored. Rising temperature usually accelerates equipment wear and failure, while the number of failures indicates the overall health of the equipment. This formula fully considers the complex relationship between these factors in the form of a nonlinear function and accurately reflects the operating stability of the equipment under different conditions.

[0064] T (current device temperature): Temperature directly affects the operating stability of the device. Too high a temperature will aggravate the aging and wear of device components and increase the probability of failure. This parameter is introduced in an exponential form, indicating that the impact of temperature is nonlinear, that is, the impact of temperature increase is increasing.

[0065] (Number of equipment failures): The number of equipment failures is a key indicator of equipment health. Frequent failures mean that the equipment encounters problems more frequently during operation, and the stability of the system decreases. , which means that the more times the equipment fails, the greater the impact of temperature on equipment stability. That is, the more frequent the equipment failure, the greater the impact of its temperature on equipment operation.

[0066] delta (device failure weight): This parameter is used to adjust the sensitivity of the number of failures to the impact of device temperature. It measures the relative importance of the impact of device failures on temperature. A larger delta value means that the number of device failures has a more significant impact on temperature. When the device health is poor, the impact of temperature on device operation is more serious.

[0067] eta (temperature sensitivity to device failure): This parameter is used to describe the sensitivity of temperature to the risk of device failure. When the temperature increases, the probability of device failure also increases. eta adjusts the strength of this relationship and reflects the degree of device response to temperature changes.

[0068] S204: Determine the overall status index and status level of the target laboratory according to the environment status index and the equipment status index, so as to be used for management of the target laboratory.

[0069] Based on the calculation results of the environmental status index (ESI) and the equipment status index (D), the overall status index of the target laboratory will combine the information from these two aspects for a comprehensive evaluation. Specifically, the environmental status index reflects the quality of the laboratory environment, such as temperature, humidity, airflow, etc., while the equipment status index focuses on the operating status of laboratory equipment, including working hours, number of failures, load rate, etc. The calculation of the overall status index will weightedly integrate the two to form a quantitative comprehensive indicator to help laboratory managers fully understand the operating health of the laboratory. In addition, based on the overall status index, the system will automatically assign the corresponding status level to provide a scientific basis for management decisions.

[0070] The design of this step can provide laboratory managers with a more accurate and comprehensive assessment of laboratory operation status. By combining environmental status and equipment status, the health status of the laboratory can be quantitatively analyzed from multiple dimensions, allowing managers to promptly understand potential problems with the laboratory environment and equipment and make adjustments or take maintenance measures in advance. In this way, the laboratory can effectively avoid interference with experimental results caused by environmental factors or equipment failures, and ensure the accuracy and safety of the experiment.

[0071] Specifically, the environment status index and the equipment status index may be weighted and summed to obtain the overall status index of the target laboratory; This step first obtains the overall status index of the laboratory by weighted summing up the environmental status index (ESI) and the equipment status index (D). The purpose of weighted summing is to assign different weights to different indicators based on the actual needs of laboratory managers and the importance of the environment and equipment. The weighted combination of environmental status and equipment status forms a comprehensive index that reflects the overall health of the laboratory. Based on this comprehensive index, laboratory managers can promptly identify potential management blind spots, such as substandard environment or equipment failure hazards, and take corresponding measures.

[0072] The overall status index obtained by weighted summation provides an intuitive and accurate health assessment tool for laboratory management. Managers can easily understand the current comprehensive status of the laboratory and monitor the operation changes of the laboratory through the overall status index. This method realizes the organic combination of environmental and equipment information, making laboratory management more refined and data-based, and improving the efficiency and accuracy of management decisions.

[0073] In practical applications, it is first necessary to set the calculation formulas for the environmental status index and the equipment status index and their respective weights. For example, the weight of the environmental status can be set to 0.6, while the weight of the equipment status can be set to 0.4. Depending on the actual situation of the laboratory, these weights can be adjusted according to the preferences of managers. For example, in a laboratory where equipment is frequently used and relies on high-precision instruments, the equipment status may be given a higher weight. After that, the environmental status index and the equipment status index are substituted into the weighted formula, and the overall status index is obtained through weighted calculation.

[0074] According to a pre-constructed mapping table of the relationship between the overall state index and the state level of the laboratory, the state level corresponding to the overall state index is determined.

[0075] This step uses the pre-established relationship mapping table between the overall status index and the status level to convert the calculated overall status index into the corresponding status level. This relationship mapping table is usually developed based on historical data, expert experience, and laboratory management requirements. In actual applications, managers can quickly understand the current laboratory status by viewing the mapping table and decide on the next management operation based on the status level.

[0076] Through this mapping relationship, laboratory managers can convert complex digital indicators into intuitive status levels to make decisions quickly. For example, when the overall status index is high, the laboratory may be in normal operation; when the status index is low, it indicates that maintenance or adjustment is needed. This method simplifies the decision-making process and helps improve the efficiency of laboratory management.

[0077] When implementing this step, you first need to develop a status level mapping table that adapts to the characteristics of different laboratories based on the laboratory's historical data and management experience. For example, an overall status index of 0.8 or above corresponds to "excellent", 0.6 to 0.8 corresponds to "good", 0.4 to 0.6 corresponds to "poor", and below 0.4 is "poor". In this way, when the overall status index of the laboratory is calculated, managers can easily determine the laboratory's status level based on the mapping table. For example, if the overall status index is calculated to be 0.71, then the laboratory's status level will correspond to the "good" level, which means that the laboratory's operating status is relatively ideal, but it still needs to be monitored to a certain extent.

[0078] It can be seen that the environment-related data sets and equipment-related data sets of the target laboratory are collected; based on the environment-related data sets, the environment status index of the target laboratory representing the environment quality is calculated; based on the equipment-related data sets, the equipment status index of the target laboratory representing the degree of equipment operation stability is calculated; based on the environment status index and the equipment status index, the overall status index of the target laboratory and its status level are determined for use in the management of the target laboratory, thereby enabling the evaluation and management of the overall operating status of the laboratory to ensure the stable operation of laboratory equipment and the high-quality state of the environment, and to improve the overall management efficiency of the laboratory.

[0079] Another embodiment of the present invention provides a management platform for laboratories, see Figure 3 , the platform may include: The acquisition module 301 is used to acquire environment-related data sets and equipment-related data sets of the target laboratory; A first calculation module 302 is used to calculate an environmental status index representing the environmental quality of the target laboratory according to the environment-related data set; A second calculation module 303 is used to calculate the equipment status index representing the degree of equipment operation stability of the target laboratory according to the equipment-related data set; The determination module 304 is used to determine the overall status index and status level of the target laboratory according to the environment status index and the equipment status index, so as to be used for the management of the target laboratory.

[0080] It can be seen that the environment-related data sets and equipment-related data sets of the target laboratory are collected; based on the environment-related data sets, the environment status index of the target laboratory representing the environment quality is calculated; based on the equipment-related data sets, the equipment status index of the target laboratory representing the degree of equipment operation stability is calculated; based on the environment status index and the equipment status index, the overall status index of the target laboratory and its status level are determined for use in the management of the target laboratory, thereby enabling the evaluation and management of the overall operating status of the laboratory to ensure the stable operation of laboratory equipment and the high-quality state of the environment, and to improve the overall management efficiency of the laboratory.

[0081] An embodiment of the present invention further provides a storage medium, in which a computer program is stored, wherein the computer program is configured to execute the steps of any of the above method embodiments when running.

[0082] Specifically, in this embodiment, the above storage medium may be configured to store a computer program for performing the following steps: S201, collecting environment-related data sets and equipment-related data sets of the target laboratory; S202, calculating an environmental status index representing environmental quality of the target laboratory according to the environment-related data set; S203, calculating, based on the equipment-related data set, an equipment status index representing the degree of equipment operation stability of the target laboratory; S204: Determine the overall status index and status level of the target laboratory according to the environment status index and the equipment status index, so as to be used for management of the target laboratory.

[0083] It can be seen that the environment-related data sets and equipment-related data sets of the target laboratory are collected; based on the environment-related data sets, the environment status index of the target laboratory representing the environment quality is calculated; based on the equipment-related data sets, the equipment status index of the target laboratory representing the degree of equipment operation stability is calculated; based on the environment status index and the equipment status index, the overall status index of the target laboratory and its status level are determined for use in the management of the target laboratory, thereby enabling the evaluation and management of the overall operating status of the laboratory to ensure the stable operation of laboratory equipment and the high-quality state of the environment, and to improve the overall management efficiency of the laboratory.

[0084] An embodiment of the present invention further provides an electronic device, including a memory and a processor, wherein the memory stores a computer program, and the processor is configured to run the computer program to execute the steps in any one of the above method embodiments.

[0085] Specifically, the electronic device may further include a transmission device and an input / output device, wherein the transmission device is connected to the processor, and the input / output device is connected to the processor.

[0086] Specifically, in this embodiment, the processor may be configured to perform the following steps through a computer program: S201, collecting environment-related data sets and equipment-related data sets of the target laboratory; S202, calculating an environmental status index representing environmental quality of the target laboratory according to the environment-related data set; S203, calculating, based on the equipment-related data set, an equipment status index representing the degree of equipment operation stability of the target laboratory; S204: Determine the overall status index and status level of the target laboratory according to the environment status index and the equipment status index, so as to be used for management of the target laboratory.

[0087] It can be seen that the environment-related data sets and equipment-related data sets of the target laboratory are collected; based on the environment-related data sets, the environment status index of the target laboratory representing the environment quality is calculated; based on the equipment-related data sets, the equipment status index of the target laboratory representing the degree of equipment operation stability is calculated; based on the environment status index and the equipment status index, the overall status index of the target laboratory and its status level are determined for use in the management of the target laboratory, thereby enabling the evaluation and management of the overall operating status of the laboratory to ensure the stable operation of laboratory equipment and the high-quality state of the environment, and to improve the overall management efficiency of the laboratory.

[0088] The above describes in detail the structure, features and effects of the present invention based on the embodiments shown in the drawings. The above is only a preferred embodiment of the present invention, but the present invention is not limited to the scope of implementation shown in the drawings. Any changes made according to the concept of the present invention, or modifications to equivalent embodiments with equivalent changes, which still do not exceed the spirit covered by the description and drawings, should be within the protection scope of the present invention.

Claims

1. A management method for a laboratory, characterized in that: The method comprises: Collect environment-related data sets and equipment-related data sets of the target laboratory; Calculating an environmental status index representing environmental quality of the target laboratory according to the environment-related data set; Calculating, according to the equipment-related data set, an equipment status index representing the degree of equipment operation stability of the target laboratory; According to the environment status index and the equipment status index, the overall status index of the target laboratory and its status level are determined for use in the management of the target laboratory.

2. The method according to claim 1, characterized in that The calculation formula of the environmental status index is: Among them, the is the environmental status index, is the current value of the i-th environmental factor, is the optimal reference value of the i-th environmental factor, is the weight coefficient of the i-th environmental factor, is the index adjustment coefficient of the i-th environmental factor, is the trend assessment value of the i-th environmental factor, which is obtained by performing regression analysis on the changes of the environmental factor over a period of time to measure its rate of increase or decrease. is the trend adjustment coefficient of the ith environmental factor, and m is the total number of environmental factors.

3. The method according to claim 2, characterized in that The calculation formula of the equipment status index is: Wherein, A is the working time of the equipment, t is the use period of the equipment, is the number of equipment failures, T is the current temperature of the equipment, C is the equipment load rate, P is the number of equipment maintenance times, R is the remaining service life ratio of the equipment, is the equipment health decay function, is the composite influence function of temperature and failure rate on equipment stability. The maximum number of maintenance times recommended for the equipment is , , It is a nonlinear function of different equipment status factors.

4. The method according to claim 3, characterized in that Said for: Among them, the is a weight related to the device type, and k is an exponent of the device decay rate.

5. The method according to claim 3, characterized in that: Said , , They are: Among them, the is the weight coefficient of the equipment life cycle; Among them, the is the weight of the current temperature of the device. is the weight of the number of equipment failures; 6. The method according to claim 3, characterized in that: Said for: Among them, the is the equipment failure weight, is the sensitivity of temperature to device failure.

7. The method according to any one of claims 1 to 6, characterized in that: Determining the overall status index and status level of the target laboratory according to the environment status index and the equipment status index includes: Performing a weighted summation on the environment status index and the equipment status index to obtain an overall status index of the target laboratory; According to a pre-constructed mapping table of the relationship between the overall state index and the state level of the laboratory, the state level corresponding to the overall state index is determined.

8. A management platform for laboratories, characterized in that: The platform includes: A collection module, used to collect environment-related data sets and equipment-related data sets of the target laboratory; A first calculation module, used for calculating an environmental status index representing environmental quality of the target laboratory according to the environment-related data set; A second calculation module is used to calculate the equipment status index representing the degree of equipment operation stability of the target laboratory according to the equipment-related data set; The determination module is used to determine the overall status index and status level of the target laboratory according to the environment status index and the equipment status index, so as to be used for the management of the target laboratory.

9. A storage medium, characterized in that: The storage medium stores a computer program, wherein the computer program is configured to execute the method according to any one of claims 1 to 7 when executed.

10. An electronic device comprising a memory and a processor, characterized in that: A computer program is stored in the memory, and the processor is configured to run the computer program to perform the method according to any one of claims 1 to 7.

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