A laboratory power safety control system and method

Abstract

This invention discloses a laboratory power safety control system and method, specifically relating to the field of power safety technology. It includes a laboratory equipment statistics module, a laboratory equipment power consumption data acquisition module, a laboratory equipment energy consumption safety management module, a laboratory equipment energy consumption early warning module, a laboratory equipment fault safety management module, a laboratory equipment fault early warning module, a laboratory equipment power consumption safety monitoring module, and a laboratory equipment power consumption safety assessment module. This invention collects power data from various laboratory instruments and equipment every t time intervals using sensors, calculates an abnormal power consumption early warning index and a fault early warning index, and uses this information to issue early warnings via an intelligent control terminal. Furthermore, it obtains the power safety monitoring coefficient for the equipment. Relying on data analysis technology and predictive capabilities, it achieves remote monitoring and control of power grid safety, improving the overall safety of the laboratory and increasing work efficiency.

Description

Technical Field

[0001] This invention relates to the field of power safety technology, and more specifically, to a laboratory power safety control system and method. Background Technology

[0002] As the scale of laboratories in universities and research institutions continues to expand and the experimental equipment becomes increasingly complex, laboratory electrical safety has become increasingly important. By real-time monitoring of electrical data such as voltage, current, and temperature of multiple high-power electrical appliances operating simultaneously, and through remote monitoring and control of the laboratory power grid, the safe and stable operation of electrical equipment can be ensured, thereby improving the laboratory's safety level and guaranteeing the personal safety of experimental personnel.

[0003] By introducing modern information technologies such as the Internet of Things, big data, and cloud computing, the laboratory safety management approach can be transformed from "human-based" to "technology-based," and an information-based and intelligent laboratory can be built. Through real-time monitoring, intelligent control, and data analysis of the laboratory power system, the development of laboratory power safety management towards informatization and intelligence will be strongly promoted.

[0004] However, it still has some shortcomings in actual use. For example, the power supply is the basis for the normal operation of laboratory instruments and equipment. If the power supply is unstable or there are problems with the power line, it will lead to power failure of the instruments and equipment, which will affect the normal progress of the experiment.

[0005] Traditional laboratory power safety management mostly relies on manual inspections and periodic checks. These methods cannot achieve real-time monitoring, are difficult to respond to in a timely manner in the event of sudden power failures, and have high labor costs and low management efficiency, making it difficult to meet the power safety management needs of modern laboratories. Summary of the Invention

[0006] To overcome the aforementioned deficiencies of the prior art, embodiments of the present invention provide a laboratory power safety control system and method to address the problems raised in the background art.

[0007] To achieve the above objectives, the present invention provides the following technical solution: a laboratory power safety control system, comprising:

[0008] Laboratory Equipment Statistics Module: Used to count the instruments and equipment in the laboratory and number each instrument and equipment sequentially as 1, 2, ... i, ... n.

[0009] Laboratory equipment power consumption data acquisition module: used to collect power data of various instruments and equipment in the laboratory every t time period through sensors. The laboratory equipment power consumption data acquisition module includes a laboratory equipment energy consumption data acquisition unit and a laboratory equipment fault data acquisition unit. The power data includes laboratory equipment energy consumption data and laboratory equipment fault data.

[0010] Laboratory equipment energy consumption safety management module: It is used to receive power data transmitted by the laboratory equipment power consumption data acquisition module, and calculate the abnormal power consumption warning index of each instrument and equipment in the laboratory for the t-th time period based on the laboratory equipment energy consumption data acquisition unit.

[0011] Laboratory equipment energy consumption early warning module: It is used to receive the energy consumption anomaly early warning index of each instrument and equipment in the laboratory during the t-th time period transmitted by the laboratory equipment energy consumption safety management module, compare it with the preset energy consumption anomaly early warning index, and perform energy consumption early warning processing.

[0012] Laboratory Equipment Fault Safety Management Module: This module receives power data transmitted from the laboratory equipment power consumption data acquisition module and calculates the power equipment fault warning index for each instrument and equipment in the laboratory during the t-th time period based on the laboratory equipment fault data acquisition unit.

[0013] Laboratory equipment fault early warning module: It is used to receive the power equipment fault early warning index of each instrument and equipment in the laboratory during the t-th time period transmitted by the laboratory equipment fault safety management module, compare it with the preset power equipment fault early warning index, and perform fault early warning processing.

[0014] Laboratory equipment power safety monitoring module: Based on the power consumption anomaly warning index and power failure warning index of each instrument and equipment in the laboratory during the t-th time period, the power safety monitoring coefficient of each instrument and equipment in the laboratory is obtained by analysis.

[0015] Laboratory Equipment Electrical Safety Assessment Module: This module is used to obtain the electrical safety monitoring coefficients of various instruments and equipment in the laboratory, compare them with the preset electrical safety monitoring coefficients, and process the data.

[0016] Preferably, the specific data acquisition method of the laboratory equipment power consumption data acquisition module is as follows:

[0017] Laboratory equipment energy consumption data acquisition unit: This unit collects data on the current, voltage, useful energy, and total input energy of various instruments and equipment in the laboratory every t time intervals using sensors, and labels these data as follows: Where i = 1, 2, ..., n, i represents the number of the i-th instrument, and t = 1, 2, ..., m, t represents the number of the t-th time period;

[0018] Laboratory equipment fault data acquisition unit: This unit collects data on the number of faults, average temperature, and highest temperature of each instrument and piece of equipment in the laboratory every t time interval using sensors, and labels these data as follows: Where i = 1, 2, ..., n, i represents the number of the i-th instrument, and t = 1, 2, ..., m, t represents the number of the t-th time period.

[0019] Preferably, the laboratory equipment energy consumption safety management module specifically comprises:

[0020] Step S01: Obtain the preset current and voltage of each instrument and equipment in the laboratory through the intelligent control terminal, and label them as HL. 预 HV 预 ;

[0021] Step S02: Analyze the energy consumption deviation rate of each instrument and equipment in the laboratory. The specific calculation formula is as follows:

[0022] in Let be the energy consumption deviation rate of the i-th instrument in the t-th time period. Let HL represent the current of the i-th instrument during the t-th time period. 预 Represented as the preset current, Let HV represent the voltage of the i-th instrument during the t-th time period. 预 Represented as the preset voltage, T t This represents the time of the t-th time interval;

[0023] Step S03: The formula for calculating the abnormal energy consumption early warning index of the electrical equipment is as follows:

[0024] in Let represent the abnormal energy consumption warning index of the i-th instrument / equipment during the t-th time period. Let be the useful energy of the i-th instrument in the t-th time period. Let m represent the total input energy of the i-th instrument in the t-th time period, and m represent the number of time periods.

[0025] Preferably, the laboratory equipment energy consumption early warning module specifically comprises:

[0026] Obtain the energy consumption anomaly warning index of each instrument and equipment in the laboratory during the t-th time period, and compare it with the preset energy consumption anomaly warning index. If the energy consumption anomaly warning index of a certain instrument or equipment in the laboratory during a certain time period is greater than the preset energy consumption anomaly warning index, it indicates that there is a potential energy consumption safety hazard in the laboratory's instruments and equipment during that time period. The numbers of the abnormal instruments and equipment in the laboratory are selected and sent to the intelligent control terminal for warning, alarm and circuit protection. Otherwise, it indicates that there is no abnormality in the laboratory's instruments and equipment during that time period.

[0027] Preferably, the laboratory equipment fault safety management module specifically comprises:

[0028] Step S01: Analyze the fault and anomaly monitoring indicators of various instruments and equipment in the laboratory. The specific calculation formula is as follows:

[0029] in Let represent the fault and anomaly monitoring indicators of the i-th instrument / equipment during the t-th time period. GC represents the number of failures of the i-th instrument in the t-th time period. 预 T represents the preset number of failures. t This represents the time of the t-th time interval;

[0030] Step S02: Analyze the temperature anomaly monitoring indicators of various instruments and equipment in the laboratory. The specific calculation formula is as follows:

[0031] in Let represent the temperature anomaly monitoring index of the i-th instrument during the t-th time period. Let be the average temperature of the i-th instrument during the t-th time period. Let represent the highest temperature of the i-th instrument during the t-th time period, k represent the thermal conductivity coefficient, and π represent the natural constant.

[0032] Step S03: The formula for calculating the fault early warning index of the electrical equipment is as follows:

[0033] in Let ΔCK represent the equipment fault warning index for the i-th instrument / equipment during the t-th time period. i Let TK be the average value of the fault and anomaly monitoring index of the i-th instrument. 预 denoted as the preset fault and anomaly monitoring index, and e represents the natural constant.

[0034] Preferably, the laboratory equipment fault early warning module specifically comprises:

[0035] Obtain the power equipment failure warning index of each instrument and equipment in the laboratory during the t-th time period, and compare it with the preset power equipment failure warning index. If the power equipment failure warning index of a certain instrument or equipment in the laboratory during a certain time period is greater than the preset power equipment failure warning index, it indicates that there is a potential power failure in the laboratory's instruments and equipment during that time period. Select the numbers of the abnormal instruments and equipment in the laboratory and send them to the intelligent control terminal for warning, alarm and circuit protection. Otherwise, it indicates that there is no abnormality in the power consumption of the laboratory's instruments and equipment during that time period.

[0036] Preferably, the formula for calculating the power safety monitoring coefficient of the electrical equipment is as follows:

[0037] Where θ i Let represent the power safety monitoring coefficient of the i-th instrument / equipment. Let m represent the energy consumption anomaly warning index of the i-th instrument / equipment in the t-th time period, where m represents the number of time periods. It represents the equipment failure early warning index of the i-th instrument / equipment in the t-th time period.

[0038] Preferably, the specific assessment method of the laboratory equipment electrical safety assessment module is as follows:

[0039] Obtain the power safety monitoring coefficient of each instrument and equipment in the laboratory, compare it with the preset power safety monitoring coefficient, and count the instrument numbers whose power safety monitoring coefficient is greater than the preset power safety monitoring coefficient. Mark these instruments as abnormal and send their numbers to the laboratory management personnel for review. Otherwise, it indicates that there is no abnormality in the power safety monitoring of the laboratory instruments and equipment.

[0040] Preferably, a laboratory electrical safety control method includes the following steps:

[0041] Step S01: Laboratory Equipment Statistics: Specifically, this involves compiling statistics on the laboratory's instruments and equipment, and numbering each instrument and equipment sequentially as 1, 2, ... i, ... n;

[0042] Step S02: Laboratory equipment power consumption data acquisition: Specifically, the power data of each instrument and equipment in the laboratory is collected every t time period by sensors. The laboratory equipment power consumption data acquisition includes a laboratory equipment energy consumption data acquisition unit and a laboratory equipment fault data acquisition unit. The power data includes laboratory equipment energy consumption data and laboratory equipment fault data.

[0043] Step S03: Laboratory equipment energy consumption safety management: Specifically, it involves receiving the power data transmitted from the laboratory equipment power consumption data acquisition step, and calculating the abnormal power consumption warning index of each instrument and equipment in the laboratory for the t-th time period based on the laboratory equipment energy consumption data acquisition unit.

[0044] Step S04: Laboratory equipment energy consumption early warning: Specifically, receive the energy consumption abnormality early warning index of each instrument and equipment in the laboratory during the t-th time period transmitted by the laboratory equipment energy consumption safety management steps, compare it with the preset energy consumption abnormality early warning index, and perform energy consumption early warning processing.

[0045] Step S05: Laboratory equipment failure safety management: Specifically, it involves receiving the power data transmitted from the laboratory equipment power consumption data acquisition step, and calculating the power equipment failure early warning index of each instrument and equipment in the laboratory for the t-th time period based on the laboratory equipment failure data acquisition unit.

[0046] Step S06: Laboratory equipment fault early warning: Specifically, receive the electrical equipment fault early warning index of each instrument and equipment in the laboratory during the t-th time period transmitted by the laboratory equipment fault safety management steps, compare it with the preset electrical equipment fault early warning index, and perform fault early warning processing.

[0047] Step S07: Laboratory equipment power safety monitoring: Specifically, based on the power consumption anomaly warning index and power failure warning index of each instrument and equipment in the laboratory during the t-th time period, the power safety monitoring coefficient of each instrument and equipment in the laboratory is obtained by analysis.

[0048] Step S08: Laboratory equipment power safety assessment: Specifically, this involves obtaining the power safety monitoring coefficients for each instrument and equipment in the laboratory, comparing them with preset power safety monitoring coefficients, and then processing the data.

[0049] The technical effects and advantages of this invention are as follows:

[0050] 1. This invention provides a laboratory power safety control system and method. It collects power data from various instruments and equipment in the laboratory every t time intervals using sensors. Based on the laboratory equipment energy consumption data acquisition unit, it calculates the abnormal power consumption warning index for each instrument and equipment in the t-th time interval. Based on the laboratory equipment fault data acquisition unit, it calculates the fault warning index for each instrument and equipment in the t-th time interval. Further analysis yields the power safety monitoring coefficient for each instrument and equipment, which is compared with a preset power safety monitoring coefficient. Instruments and equipment whose power safety monitoring coefficients are greater than the preset coefficients are identified and marked as abnormal equipment. These abnormal equipment numbers are sent to laboratory management personnel for review. Conversely, if the coefficients are less than the preset coefficients, it indicates that there are no abnormalities in the laboratory's power safety monitoring. This system enables real-time monitoring of power data such as voltage, current, and temperature by setting appropriate data acquisition frequencies according to the specific needs of the laboratory. Furthermore, relying on the powerful data analysis technology and model prediction capabilities of AI big data, it achieves remote monitoring and control of the laboratory power grid safety, precisely controlling each line.

[0051] 2. This invention provides a laboratory power safety control system and method. It obtains the energy consumption anomaly warning index of each instrument and equipment in the laboratory during the t-th time period and compares it with a preset energy consumption anomaly warning index. If the energy consumption anomaly warning index of a certain instrument or equipment in the laboratory during a certain time period is greater than the preset energy consumption anomaly warning index, it indicates that the laboratory instrument or equipment has a potential energy consumption safety hazard during that time period. The number of the abnormal instrument or equipment is selected and sent to the intelligent control terminal for warning, alarm, and circuit protection. Conversely, if the energy consumption anomaly warning index is less than the preset index, it indicates that the laboratory instrument or equipment has no abnormality during that time period. By obtaining the energy consumption anomaly warning index of each instrument or equipment in the laboratory during the t-th time period... The equipment failure early warning index is compared with a preset index. If the early warning index of a certain instrument in the laboratory is greater than the preset index during a certain period, it indicates that there is a potential electrical failure in the instrument during that period. The instrument number is then selected and sent to the intelligent control terminal for early warning, alarm, and circuit protection. Conversely, if the index is lower than the preset index, it indicates that there is no abnormality in the power consumption of the instrument during that period. Early warnings are issued through the intelligent control terminal of the laboratory equipment, which reduces management and operating costs, improves work efficiency, effectively reduces the risk of safety accidents caused by power problems, and enhances the overall safety of the laboratory. Attached Figure Description

[0052] Figure 1 This is a schematic diagram of the system module connection of the present invention.

[0053] Figure 2 This is a schematic diagram of the laboratory equipment power data acquisition module of the present invention.

[0054] Figure 3 This is a schematic diagram showing the flow of steps in the method of the present invention. Detailed Implementation

[0055] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0056] Please see Figure 1As shown, the present invention provides a laboratory power safety control system and method, including a laboratory equipment statistics module, a laboratory equipment power consumption data acquisition module, a laboratory equipment energy consumption safety management module, a laboratory equipment energy consumption early warning module, a laboratory equipment fault safety management module, a laboratory equipment fault early warning module, a laboratory equipment power consumption safety monitoring module, and a laboratory equipment power consumption safety assessment module.

[0057] The laboratory equipment statistics module is connected to the laboratory equipment power consumption data acquisition module. The laboratory equipment power consumption data acquisition module is connected to the laboratory equipment energy consumption safety management module and the laboratory equipment fault safety management module. The laboratory equipment energy consumption safety management module is connected to the laboratory equipment energy consumption early warning module. The laboratory equipment fault safety management module is connected to the laboratory equipment fault early warning module. The laboratory equipment energy consumption safety management module and the laboratory equipment fault safety management module are connected to the laboratory equipment power consumption safety monitoring module. The laboratory equipment power consumption safety monitoring module is connected to the laboratory equipment power consumption safety assessment module.

[0058] The laboratory equipment statistics module is used to count the instruments and equipment in the laboratory and number each instrument and equipment in the laboratory sequentially as 1, 2, ... i, ... n.

[0059] Please see Figure 2 As shown, the laboratory equipment power consumption data acquisition module is used to collect power data of each instrument and equipment in the laboratory every t time period through sensors. The laboratory equipment power consumption data acquisition module includes a laboratory equipment energy consumption data acquisition unit and a laboratory equipment fault data acquisition unit. The power data includes laboratory equipment energy consumption data and laboratory equipment fault data.

[0060] In one possible design, the specific data acquisition method of the laboratory equipment power consumption data acquisition module is as follows:

[0061] Laboratory equipment energy consumption data acquisition unit: This unit collects data on the current, voltage, useful energy, and total input energy of various instruments and equipment in the laboratory every t time intervals using sensors, and labels these data as follows: Where i = 1, 2, ..., n, i represents the number of the i-th instrument, and t = 1, 2, ..., m, t represents the number of the t-th time period;

[0062] Laboratory equipment fault data acquisition unit: This unit collects data on the number of faults, average temperature, and highest temperature of each instrument and piece of equipment in the laboratory every t time interval using sensors, and labels these data as follows: Where i = 1, 2, ..., n, i represents the number of the i-th instrument, and t = 1, 2, ..., m, t represents the number of the t-th time period.

[0063] The laboratory equipment energy consumption safety management module is used to receive power data transmitted by the laboratory equipment power consumption data acquisition module, and calculate the abnormal power consumption warning index of each instrument and equipment in the laboratory for the t-th time period based on the laboratory equipment energy consumption data acquisition unit.

[0064] In one possible design, the laboratory equipment energy consumption safety management module specifically comprises:

[0065] Step S01: Obtain the preset current and voltage of each instrument and equipment in the laboratory through the intelligent control terminal, and label them as HL. 预 HV 预 ;

[0066] Step S02: Analyze the energy consumption deviation rate of each instrument and equipment in the laboratory. The specific calculation formula is as follows:

[0067] in Let be the energy consumption deviation rate of the i-th instrument in the t-th time period. Let HL represent the current of the i-th instrument during the t-th time period. 预 Represented as the preset current, Let HV represent the voltage of the i-th instrument during the t-th time period. 预 Represented as the preset voltage, T t This represents the time of the t-th time interval;

[0068] Step S03: The formula for calculating the abnormal energy consumption early warning index of the electrical equipment is as follows:

[0069] in Let represent the abnormal energy consumption warning index of the i-th instrument / equipment during the t-th time period. Let be the useful energy of the i-th instrument in the t-th time period. Let m represent the total input energy of the i-th instrument in the t-th time period, and m represent the number of time periods.

[0070] The laboratory equipment energy consumption early warning module is used to receive the abnormal energy consumption early warning index of each instrument and equipment in the laboratory during the t-th time period transmitted by the laboratory equipment energy consumption safety management module, compare it with the preset abnormal energy consumption early warning index, and perform energy consumption early warning processing.

[0071] In one possible design, the laboratory equipment energy consumption early warning module specifically comprises:

[0072] Obtain the energy consumption anomaly warning index of each instrument and equipment in the laboratory during the t-th time period, and compare it with the preset energy consumption anomaly warning index. If the energy consumption anomaly warning index of a certain instrument or equipment in the laboratory during a certain time period is greater than the preset energy consumption anomaly warning index, it indicates that there is a potential energy consumption safety hazard in the laboratory's instruments and equipment during that time period. The numbers of the abnormal instruments and equipment in the laboratory are selected and sent to the intelligent control terminal for warning, alarm and circuit protection. Otherwise, it indicates that there is no abnormality in the laboratory's instruments and equipment during that time period.

[0073] The laboratory equipment fault safety management module is used to receive power data transmitted by the laboratory equipment power consumption data acquisition module, and calculate the power equipment fault warning index of each instrument and equipment in the laboratory for the t-th time period based on the laboratory equipment fault data acquisition unit.

[0074] In one possible design, the laboratory equipment fail-safe management module specifically comprises:

[0075] Step S01: Analyze the fault and anomaly monitoring indicators of various instruments and equipment in the laboratory. The specific calculation formula is as follows:

[0076] in Let represent the fault and anomaly monitoring indicators of the i-th instrument / equipment during the t-th time period. GC represents the number of failures of the i-th instrument in the t-th time period. 预 T represents the preset number of failures. t This represents the time of the t-th time interval;

[0077] Step S02: Analyze the temperature anomaly monitoring indicators of various instruments and equipment in the laboratory. The specific calculation formula is as follows:

[0078] in Let represent the temperature anomaly monitoring index of the i-th instrument during the t-th time period. Let be the average temperature of the i-th instrument during the t-th time period. Let represent the highest temperature of the i-th instrument during the t-th time period, k represent the thermal conductivity coefficient, and π represent the natural constant.

[0079] Step S03: The formula for calculating the fault early warning index of the electrical equipment is as follows:

[0080] in Let ΔCK represent the equipment fault warning index for the i-th instrument / equipment during the t-th time period. i Let TK be the average value of the fault and anomaly monitoring index of the i-th instrument. 预denoted as the preset fault and anomaly monitoring index, and e represents the natural constant.

[0081] The laboratory equipment fault early warning module is used to receive the electrical equipment fault early warning index of each instrument and equipment in the laboratory during the t-th time period transmitted by the laboratory equipment fault safety management module, compare it with the preset electrical equipment fault early warning index, and perform fault early warning processing.

[0082] In one possible design, the laboratory equipment fault early warning module specifically comprises:

[0083] Obtain the power equipment failure warning index of each instrument and equipment in the laboratory during the t-th time period, and compare it with the preset power equipment failure warning index. If the power equipment failure warning index of a certain instrument or equipment in the laboratory during a certain time period is greater than the preset power equipment failure warning index, it indicates that there is a potential power failure in the laboratory's instruments and equipment during that time period. Select the numbers of the abnormal instruments and equipment in the laboratory and send them to the intelligent control terminal for warning, alarm and circuit protection. Otherwise, it indicates that there is no abnormality in the power consumption of the laboratory's instruments and equipment during that time period.

[0084] The laboratory equipment power safety monitoring module analyzes and obtains the power safety monitoring coefficient of each instrument and equipment in the laboratory based on the abnormal power consumption warning index and the power failure warning index of each instrument and equipment in the laboratory during the t-th time period.

[0085] In one possible design, the formula for calculating the power safety monitoring coefficient of the electrical equipment is:

[0086] Where θ i Let represent the power safety monitoring coefficient of the i-th instrument / equipment. Let m represent the energy consumption anomaly warning index of the i-th instrument / equipment in the t-th time period, where m represents the number of time periods. It represents the equipment failure early warning index of the i-th instrument / equipment in the t-th time period.

[0087] The laboratory equipment power safety assessment module is used to obtain the power safety monitoring coefficient of each instrument and equipment in the laboratory, compare it with the preset power safety monitoring coefficient, and process it.

[0088] In one possible design, the specific assessment method of the laboratory equipment electrical safety assessment module is as follows:

[0089] Obtain the power safety monitoring coefficient of each instrument and equipment in the laboratory, compare it with the preset power safety monitoring coefficient, and count the instrument numbers whose power safety monitoring coefficient is greater than the preset power safety monitoring coefficient. Mark these instruments as abnormal and send their numbers to the laboratory management personnel for review. Otherwise, it indicates that there is no abnormality in the power safety monitoring of the laboratory instruments and equipment.

[0090] Please see Figure 3 As shown in this embodiment, it should be specifically noted that the present invention provides a laboratory power safety control method, including the following steps:

[0091] Step S01: Laboratory Equipment Statistics: Specifically, this involves compiling statistics on the laboratory's instruments and equipment, and numbering each instrument and equipment sequentially as 1, 2, ... i, ... n;

[0092] Step S02: Laboratory equipment power consumption data acquisition: Specifically, the power data of each instrument and equipment in the laboratory is collected every t time period by sensors. The laboratory equipment power consumption data acquisition includes a laboratory equipment energy consumption data acquisition unit and a laboratory equipment fault data acquisition unit. The power data includes laboratory equipment energy consumption data and laboratory equipment fault data.

[0093] Step S03: Laboratory equipment energy consumption safety management: Specifically, it involves receiving the power data transmitted from the laboratory equipment power consumption data acquisition step, and calculating the abnormal power consumption warning index of each instrument and equipment in the laboratory for the t-th time period based on the laboratory equipment energy consumption data acquisition unit.

[0094] Step S04: Laboratory equipment energy consumption early warning: Specifically, receive the energy consumption abnormality early warning index of each instrument and equipment in the laboratory during the t-th time period transmitted by the laboratory equipment energy consumption safety management steps, compare it with the preset energy consumption abnormality early warning index, and perform energy consumption early warning processing.

[0095] Step S05: Laboratory equipment failure safety management: Specifically, it involves receiving the power data transmitted from the laboratory equipment power consumption data acquisition step, and calculating the power equipment failure early warning index of each instrument and equipment in the laboratory for the t-th time period based on the laboratory equipment failure data acquisition unit.

[0096] Step S06: Laboratory equipment fault early warning: Specifically, receive the electrical equipment fault early warning index of each instrument and equipment in the laboratory during the t-th time period transmitted by the laboratory equipment fault safety management steps, compare it with the preset electrical equipment fault early warning index, and perform fault early warning processing.

[0097] Step S07: Laboratory equipment power safety monitoring: Specifically, based on the power consumption anomaly warning index and power failure warning index of each instrument and equipment in the laboratory during the t-th time period, the power safety monitoring coefficient of each instrument and equipment in the laboratory is obtained by analysis.

[0098] Step S08: Laboratory equipment power safety assessment: Specifically, this involves obtaining the power safety monitoring coefficients for each instrument and equipment in the laboratory, comparing them with preset power safety monitoring coefficients, and then processing the data.

[0099] In this embodiment, it should be specifically explained that the present invention collects power data of various instruments and equipment in the laboratory every t time intervals using sensors. Based on the laboratory equipment energy consumption data acquisition unit, an abnormal power consumption warning index for each instrument and equipment in the laboratory during the t-th time interval is calculated. Based on the laboratory equipment fault data acquisition unit, an abnormal power consumption warning index for each instrument and equipment in the laboratory during the t-th time interval is calculated. Further analysis yields the power safety monitoring coefficient for each instrument and equipment in the laboratory. This coefficient is compared with a preset power safety monitoring coefficient. Instruments and equipment whose power safety monitoring coefficients are greater than the preset coefficients are identified and marked as abnormal equipment. These abnormal equipment numbers are sent to laboratory management personnel for review. Conversely, if the coefficients are less than the preset coefficients, it indicates that there are no abnormalities in the power safety monitoring of the laboratory instruments and equipment. This allows for real-time monitoring of power data such as voltage, current, and temperature by setting appropriate data acquisition frequencies according to the specific needs of the laboratory. Furthermore, relying on the powerful data analysis technology and model prediction capabilities of AI big data, remote monitoring and control of the laboratory power grid safety can be achieved, precisely controlling each line.

[0100] In this embodiment, it should be specifically explained that the present invention obtains the energy consumption anomaly warning index of each instrument and equipment in the laboratory during the t-th time period and compares it with a preset energy consumption anomaly warning index. If the energy consumption anomaly warning index of a certain instrument or equipment in the laboratory during a certain time period is greater than the preset energy consumption anomaly warning index, it indicates that the laboratory instrument or equipment has a potential energy consumption safety hazard during that time period. The numbers of the abnormal instruments and equipment in the laboratory are then selected and sent to the intelligent control terminal for warning, alarm, and circuit protection. Conversely, if the energy consumption anomaly warning index is less than the preset energy consumption anomaly warning index, it indicates that the laboratory instrument or equipment has no abnormality during that time period. By obtaining the energy consumption anomaly warning index of each instrument and equipment in the laboratory during the t-th time period, the present invention can achieve the desired energy consumption safety hazard. The system prepares a fault warning index and compares it with a preset electrical equipment fault warning index. If the electrical equipment fault warning index of a certain instrument in the laboratory is greater than the preset index during a certain period, it indicates that there is a potential electrical fault in the instrument during that period. The system then identifies the abnormal instrument and sends the information to the intelligent control terminal for warning, alarm, and circuit protection. Conversely, if the index is lower than the preset index, it indicates that there is no abnormality in the power consumption of the instrument during that period. By issuing warnings through the intelligent control terminal of the laboratory equipment, management and operating costs are reduced, work efficiency is improved, the risk of safety accidents caused by power problems is effectively reduced, and the overall safety of the laboratory is enhanced.

[0101] In conclusion, the above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of the present invention should be included within the protection scope of the present invention.

Claims

1. A laboratory power safety control system, characterized in that, include: Laboratory Equipment Statistics Module: Used to count the instruments and equipment in the laboratory and number each instrument and equipment sequentially as 1, 2,... ,... ; Laboratory equipment power consumption data acquisition module: This module collects power data from various laboratory instruments and equipment every t time intervals using sensors. It includes a laboratory equipment energy consumption data acquisition unit and a laboratory equipment fault data acquisition unit. The power data includes both energy consumption data and fault data. The specific data acquisition method is as follows: The laboratory equipment energy consumption data acquisition unit collects the current, voltage, useful energy, and total input energy of each laboratory instrument and equipment every t time intervals using sensors, and labels them as follows: , , , ,in =1, 2, ... , Represented as the first The serial number of each instrument / equipment =1, 2, ... , Represented as the first The time period is numbered; the laboratory equipment failure data acquisition unit: collects the number of failures, average temperature, and maximum temperature of each instrument and equipment in the laboratory every t time period through sensors, and marks them as follows: , , ,in =1, 2, ... , Represented as the first The serial number of each instrument / equipment =1, 2, ... , Represented as the first The number of each time period; Laboratory equipment energy consumption safety management module: used to receive power data transmitted by the laboratory equipment power consumption data acquisition module, and calculate the abnormal power consumption warning index of each instrument and equipment in the laboratory for the t-th time period based on the laboratory equipment energy consumption data acquisition unit; Laboratory equipment energy consumption early warning module: It is used to receive the abnormal energy consumption early warning index of each instrument and equipment in the laboratory during the t-th time period transmitted by the laboratory equipment energy consumption safety management module, compare it with the preset abnormal energy consumption early warning index, and perform energy consumption early warning processing. Laboratory equipment failure safety management module: used to receive power data transmitted by the laboratory equipment power consumption data acquisition module, and calculate the power equipment failure early warning index of each instrument and equipment in the laboratory for the t-th time period based on the laboratory equipment failure data acquisition unit; Laboratory equipment fault early warning module: It is used to receive the power equipment fault early warning index of each instrument and equipment in the laboratory during the t-th time period transmitted by the laboratory equipment fault safety management module, compare it with the preset power equipment fault early warning index, and perform fault early warning processing. Laboratory equipment power safety monitoring module: Based on the power consumption anomaly warning index and power failure warning index of each instrument and equipment in the laboratory during the t-th time period, the power safety monitoring coefficient of each instrument and equipment in the laboratory is obtained by analysis. Laboratory Equipment Electrical Safety Assessment Module: This module is used to obtain the electrical safety monitoring coefficients of various instruments and equipment in the laboratory, compare them with the preset electrical safety monitoring coefficients, and process the data.

2. The laboratory power safety control system according to claim 1, characterized in that: The laboratory equipment energy consumption safety management module specifically includes: Step S01: Obtain the preset current and voltage of each instrument and equipment in the laboratory through the intelligent control terminal, and mark them as follows. , ; Step S02: Analyze the energy consumption deviation rate of each instrument and equipment in the laboratory. The specific calculation formula is as follows: ,in Represented as the first The first instrument and equipment Energy consumption deviation rate for each time period Represented as the first The first instrument and equipment Current over a time period Represented as the preset current, Represented as the first The first instrument and equipment Voltage over a time period This is represented as the preset voltage. Represented as the first The time period; Step S03: The formula for calculating the abnormal energy consumption early warning index of the electrical equipment is as follows: ,in Represented as the first The first instrument and equipment Anomaly warning index for electrical equipment energy consumption over a specific time period. Represented as the first The first instrument and equipment Useful energy over a period of time Represented as the first The first instrument and equipment Total input energy over a time period This represents the number of time periods.

3. A laboratory power safety control system according to claim 2, characterized in that: The laboratory equipment energy consumption early warning module is specifically as follows: Obtain the energy consumption anomaly warning index of each instrument and equipment in the laboratory during the t-th time period, and compare it with the preset energy consumption anomaly warning index. If the energy consumption anomaly warning index of a certain instrument or equipment in the laboratory during a certain time period is greater than the preset energy consumption anomaly warning index, it indicates that there is a potential energy consumption safety hazard in the laboratory's instruments and equipment during that time period. The numbers of the abnormal instruments and equipment in the laboratory are selected and sent to the intelligent control terminal for warning, alarm and circuit protection. Otherwise, it indicates that there is no abnormality in the laboratory's instruments and equipment during that time period.

4. A laboratory power safety control system according to claim 3, characterized in that: The laboratory equipment fault safety management module specifically includes: Step S01: Analyze the fault and anomaly monitoring indicators of various instruments and equipment in the laboratory. The specific calculation formula is as follows: ,in Represented as the first The first instrument and equipment Fault and anomaly monitoring indicators for a given time period Represented as the first The first instrument and equipment Number of failures within a time period This represents the preset number of failures. Represented as the first The time period; Step S02: Analyze the temperature anomaly monitoring indicators of various instruments and equipment in the laboratory. The specific calculation formula is as follows: ,in Represented as the first The first instrument and equipment Temperature anomaly monitoring indicators for a given time period Represented as the first The first instrument and equipment Average temperature over a period of time Represented as the first The first instrument and equipment The highest temperature during that time period Expressed as thermal conductivity coefficient, Represented as natural constants; Step S03: The formula for calculating the fault early warning index of the electrical equipment is as follows: ,in Represented as the first The first instrument and equipment The equipment failure early warning index for a given time period Represented as the first Average values ​​of fault and anomaly monitoring indicators for each instrument and equipment. This represents the preset fault and anomaly monitoring indicators. It is represented as a natural constant.

5. A laboratory power safety control system according to claim 4, characterized in that: The laboratory equipment fault early warning module is specifically as follows: Obtain the power equipment failure warning index of each instrument and equipment in the laboratory during the t-th time period, and compare it with the preset power equipment failure warning index. If the power equipment failure warning index of a certain instrument or equipment in the laboratory during a certain time period is greater than the preset power equipment failure warning index, it indicates that there is a potential power failure in the laboratory's instruments and equipment during that time period. Select the numbers of the abnormal instruments and equipment in the laboratory and send them to the intelligent control terminal for warning, alarm and circuit protection. Otherwise, it indicates that there is no abnormality in the power consumption of the laboratory's instruments and equipment during that time period.

6. A laboratory power safety control system according to claim 5, characterized in that: The formula for calculating the power safety monitoring coefficient of the electrical equipment is as follows: ,in Represented as the first The power safety monitoring coefficient of each instrument and equipment Represented as the first The first instrument and equipment Anomaly warning index for electrical equipment energy consumption over a specific time period. This represents the number of time periods. Represented as the first The first instrument and equipment The fault warning index of electrical equipment for a specific time period.

7. A laboratory power safety control system according to claim 6, characterized in that: The specific assessment method for the laboratory equipment electrical safety assessment module is as follows: Obtain the power safety monitoring coefficient of each instrument and equipment in the laboratory, compare it with the preset power safety monitoring coefficient, and count the instrument numbers whose power safety monitoring coefficient is greater than the preset power safety monitoring coefficient. Mark these instruments as abnormal and send their numbers to the laboratory management personnel for review. Otherwise, it indicates that there is no abnormality in the power safety monitoring of the laboratory instruments and equipment.

8. A laboratory electrical safety control method, using a laboratory electrical safety control system as described in any one of claims 1-7, characterized in that: Includes the following steps: Step S01: Laboratory Equipment Statistics: Specifically, this involves compiling statistics on the laboratory's instruments and equipment, and numbering each instrument and equipment sequentially as 1, 2,... ,... ; Step S02: Laboratory equipment power consumption data acquisition: Specifically, the power data of each instrument and equipment in the laboratory is collected every t time period by sensors. The laboratory equipment power consumption data acquisition includes a laboratory equipment energy consumption data acquisition unit and a laboratory equipment fault data acquisition unit. The power data includes laboratory equipment energy consumption data and laboratory equipment fault data. Step S03: Laboratory equipment energy consumption safety management: Specifically, it involves receiving the power data transmitted from the laboratory equipment power consumption data acquisition step, and calculating the abnormal power consumption warning index of each instrument and equipment in the laboratory for the t-th time period based on the laboratory equipment energy consumption data acquisition unit. Step S04: Laboratory equipment energy consumption early warning: Specifically, receive the energy consumption abnormality early warning index of each instrument and equipment in the laboratory during the t-th time period transmitted by the laboratory equipment energy consumption safety management steps, compare it with the preset energy consumption abnormality early warning index, and perform energy consumption early warning processing. Step S05: Laboratory equipment failure safety management: Specifically, it involves receiving the power data transmitted from the laboratory equipment power consumption data acquisition step, and calculating the power equipment failure early warning index of each instrument and equipment in the laboratory for the t-th time period based on the laboratory equipment failure data acquisition unit. Step S06: Laboratory equipment fault early warning: Specifically, receive the electrical equipment fault early warning index of each instrument and equipment in the laboratory during the t-th time period transmitted by the laboratory equipment fault safety management steps, compare it with the preset electrical equipment fault early warning index, and perform fault early warning processing. Step S07: Laboratory equipment power safety monitoring: Specifically, based on the power consumption anomaly warning index and power failure warning index of each instrument and equipment in the laboratory during the t-th time period, the power safety monitoring coefficient of each instrument and equipment in the laboratory is obtained by analysis. Step S08: Laboratory equipment power safety assessment: Specifically, this involves obtaining the power safety monitoring coefficients for each instrument and equipment in the laboratory, comparing them with preset power safety monitoring coefficients, and then processing the data.

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