A long-term hot standby electrical appliance operation safety monitoring and regulation system

Abstract

The present invention discloses a long-term hot standby electrical appliance operation safety monitoring and adjustment system, which relates to the technical field of electrical appliance safety monitoring; the present invention sets high temperature reference values ​​for various hot standby electrical appliances and monitors their temperature values ​​in real time. Once the temperature reaches the set value, the appliance is immediately marked as an abnormal appliance, and a safety warning signal is triggered at the same time. After the safety warning signal is triggered, the power supply of the abnormal appliance is disconnected, and then the electrical, heat dissipation and performance parameters within the set time window before the warning is triggered are extracted for evaluation. According to the evaluation results, the specific hidden danger cause of the abnormal appliance triggering the safety warning signal is determined, which solves the problem of the singleness of the electrical appliance safety monitoring means in the prior art, which can only monitor the temperature of the electrical appliance and notify personnel to handle it when the temperature reaches the set value.

Description

Technical Field

[0001] The invention relates to the technical field of electrical appliance safety monitoring, and in particular to a long-term hot standby electrical appliance operation safety monitoring and regulating system. Background Art

[0002] In modern life and industrial production, there are a large number of electrical appliances that are in hot standby state for a long time, such as TV set-top boxes, computer hosts, routers, and some backup appliances for industrial control. Although these appliances are in standby state, they still consume a certain amount of electrical energy and the internal circuits are powered on and heated. This may cause many safety hazards for a long time.

[0003] However, in the practical application of the long-term hot standby electrical appliance operation safety monitoring and adjustment system in the prior art, there are still the following deficiencies:

[0004] Existing electrical appliance safety monitoring methods can only monitor the temperature of electrical appliances in a single way, and notify personnel to take action when the temperature reaches the set value. Different targeted evaluations are performed on the electrical, heat dissipation and performance parameters of the electrical appliances before the temperature reaches the set value, so as to determine the specific hidden dangers that lead to abnormal temperature of hot standby appliances. The monitoring is single.

[0005] Therefore, a long-term hot standby electrical appliance operation safety monitoring and regulation system is introduced. Summary of the invention

[0006] The purpose of the present invention is to solve the problems pointed out in the background technology and to propose a long-term thermal standby electrical appliance operation safety monitoring and adjustment system.

[0007] The purpose of the present invention can be achieved through the following technical solution: A long-term hot standby electrical appliance operation safety monitoring and adjustment system, comprising:

[0008] Safety monitoring module: set the high temperature reference value corresponding to each type of hot standby electrical appliances in the area; monitor the temperature values ​​of each type of hot standby electrical appliances in the area in real time. If the temperature value of a certain type of hot standby electrical appliances reaches the corresponding set high temperature reference value at a certain moment, the hot standby electrical appliances that reach the high temperature reference value will be marked as abnormal electrical appliances, and the safety warning signal will be triggered and sent to the electrical appliance evaluation module and the warning adjustment module;

[0009] Electrical appliance assessment module: used to receive triggered safety warning signals and execute corresponding steps;

[0010] Specifically:

[0011] S1: disconnect the power supply of the abnormal electrical appliance corresponding to the safety warning signal, and then execute step S2;

[0012] S2: extracting electrical parameters, heat dissipation parameters and performance parameters of the abnormal electrical appliance within a set time window before triggering the safety warning signal, and evaluating them respectively, so as to determine the electrical abnormality index yu1, heat dissipation abnormality index yu2 and performance abnormality index yu3 of the abnormal electrical appliance within the set time window before triggering the safety warning signal, and executing step S3 after determining each index;

[0013] S3: Set the threshold indexes corresponding to the electrical abnormality index yu1, heat dissipation abnormality index yu2 and performance abnormality index yu3 of each type of thermal standby electrical appliance, and compare the electrical abnormality index yu1, heat dissipation abnormality index yu2 and performance abnormality index yu3 of the abnormal electrical appliance with the corresponding set threshold indexes. If a group of indexes is greater than the corresponding set threshold index, the corresponding hidden danger signaling is triggered; the hidden danger signaling includes electrical signaling, heat dissipation signaling and performance signaling, and the triggered specific hidden danger signaling is sent to the management personnel.

[0014] As a preferred embodiment of the present invention, the electrical abnormality index yu1 of the abnormal electrical appliance within a set time window before triggering the safety warning signal is determined, specifically:

[0015] Acquire a standby current data sequence of the abnormal electrical appliance within a set time window before triggering a safety warning signal, wherein the sequence includes the standby current data of the abnormal electrical appliance at each time point within the set time window;

[0016] Set a standard current range corresponding to the abnormal electrical appliance; compare each group of standby current data in the standby current data sequence with the set standard current range, identify each group of standby current data in the standby current data sequence that is outside the standard current range, and count the number as the number of abnormal currents of the abnormal electrical appliance within the set time window, and calculate the ratio of the number of abnormal currents to the total number of standby current data in the standby current data sequence, that is, the number of abnormal currents / the total number of standby current data, to obtain the abnormal current ratio of the abnormal electrical appliance within the set time window;

[0017] The standard deviation formula is used to calculate each group of standby current data in the standby current data sequence, so as to obtain the abnormal current fluctuation value of the abnormal electrical appliance within the set time window;

[0018] Acquire a standby voltage data sequence of the abnormal electrical appliance within a set time window before triggering a safety warning signal, wherein the sequence includes the standby voltage data of the abnormal electrical appliance at each time point within the set time window;

[0019] Obtain the normal rated voltage range corresponding to the abnormal electrical appliance, and compare the standby voltage data sequence with the rated voltage range, count the number of standby voltage data outside the rated voltage range as the number of abnormal voltages, and calculate the ratio of the number of abnormal voltages to the total number of standby voltage data in the standby voltage data sequence, that is, the number of abnormal voltages / the total number of standby voltage data, to obtain the abnormal voltage ratio of the abnormal electrical appliance within the set time window;

[0020] The standard deviation formula is used to calculate each group of standby voltage data in the standby voltage data sequence, so as to obtain the abnormal voltage fluctuation value of the abnormal electrical appliance within the set time window;

[0021] The reference values ​​of abnormal current ratio, abnormal current fluctuation value, abnormal voltage ratio and abnormal voltage fluctuation value corresponding to abnormal electrical appliances are preset; wherein the reference values ​​include abnormal current reference ratio, abnormal current reference fluctuation value, abnormal voltage reference ratio and abnormal voltage reference fluctuation value.

[0022] As a preferred embodiment of the present invention, determining the electrical abnormality index yu1 of the abnormal electrical appliance within a set time window before triggering the safety warning signal also includes:

[0023] Setting weight coefficients corresponding to abnormal current ratio, abnormal current fluctuation value, abnormal voltage ratio and abnormal voltage fluctuation value of abnormal electrical appliances respectively;

[0024] The abnormal current ratio, abnormal current fluctuation value, abnormal voltage ratio and abnormal voltage fluctuation value of the abnormal electrical appliance are calculated with the corresponding reference values ​​respectively, each group of calculated ratios is multiplied by the corresponding set weight coefficient and then summed up, and the summed result is divided by the integer four to obtain the electrical abnormality index yu1 of the abnormal electrical appliance within the set time window before triggering the safety warning signal.

[0025] As a preferred embodiment of the present invention, the heat dissipation abnormality index yu2 of the abnormal electrical appliance within a set time window before triggering the safety warning signal is determined, specifically:

[0026] Obtain the heat sink temperature values ​​at different locations of the abnormal electrical heat sink at each time point within the set time window before triggering the safety warning signal;

[0027] The average values ​​of the heat sink temperature values ​​at different positions at each time point are calculated respectively, so as to determine the comprehensive temperature values ​​of the heat sink at different positions within the set time window;

[0028] Set the normal temperature difference threshold corresponding to the abnormal electrical appliance; use the standard deviation formula to calculate the comprehensive temperature value of different positions of the heat sink, so as to obtain the temperature difference value of the heat sink corresponding to the abnormal electrical appliance;

[0029] The temperature difference value of the abnormal electrical appliance is calculated by ratio with the set normal temperature difference threshold value, that is, the temperature difference value / normal temperature difference threshold value is calculated; the heat sink discrete value of the abnormal electrical appliance is obtained;

[0030] Extract the comprehensive temperature values ​​of each group corresponding to the start time and end time of the abnormal electrical appliance within the set time window;

[0031] The average of the temperature comprehensive values ​​of each group within the starting time is taken as the starting comprehensive value of the heat sink, and the average of the temperature comprehensive values ​​of each group at the ending time is taken as the ending comprehensive value of the heat sink;

[0032] The heat is calculated according to the formula Q=m×c×(end comprehensive value-start comprehensive value), where m is the mass of the heat sink and c is the specific heat capacity of the heat sink; the calculated heat Q is divided by the set time window to obtain the heat dissipation rate of the abnormal electrical heat sink within the set time window;

[0033] Calculate the ratio of the heat dissipation rate of the abnormal electrical appliance to the preset normal heat dissipation rate, that is, the heat sink rate value of the abnormal electrical appliance is obtained by dividing the normal heat dissipation rate by the heat dissipation rate;

[0034] Set the weight coefficients corresponding to the heat sink discrete value and the heat sink rate value respectively, multiply the heat sink discrete value and the heat sink rate value of the abnormal electrical appliance by the corresponding set weight coefficients and then sum them, and divide the sum by the integer 2 to obtain the heat dissipation anomaly index yu2 of the abnormal electrical appliance within the set time window before triggering the safety warning signal.

[0035] As a preferred embodiment of the present invention, the performance abnormality index yu3 of the abnormal electrical appliance within a set time window before triggering the safety warning signal is determined, specifically:

[0036] Obtain the capacitance value of each component of the abnormal electrical appliance corresponding to the triggering safety warning signal within the set time window; set the nominal capacitance of each component corresponding to the abnormal electrical appliance; calculate the average capacitance value of each component of the abnormal electrical appliance at different measurement time points within the set time window to obtain the comprehensive capacitance value of each component, and calculate the relative deviation value between the comprehensive capacitance value of each component and the corresponding nominal capacitance, that is, through the formula ; Where c1 and c2 represent the comprehensive capacitance value and corresponding nominal capacitance of each component respectively;

[0037] Set the allowable threshold of the relative deviation value corresponding to each component of the abnormal electrical appliance. If the relative deviation value of a component of the abnormal electrical appliance is higher than the corresponding allowable threshold, it is determined to be an abnormal component; calculate the proportion of the number of abnormal components in the total number of abnormal electrical components, so as to obtain the performance abnormality index yu3 of the abnormal electrical appliance within the set time window before triggering the safety warning signal.

[0038] As a preferred embodiment of the present invention, it also includes an early warning adjustment module:

[0039] The temperature changes of abnormal electrical appliances within a set time window before triggering a safety warning signal are read and transmitted to a pre-constructed database. If the similarity evaluation index obtained by analyzing the temperature changes of a certain type of thermal standby electrical appliances within the set time window at a certain moment in the future and the temperature changes of the corresponding classified thermal standby electrical appliances in the database is less than the corresponding preset reference similarity value, the warning risk signal is triggered, and the specific hidden danger signal triggered by the corresponding classified thermal standby electrical appliances in the database is extracted, and then sent to the management personnel. The temperature changes of abnormal electrical appliances within a set time window before triggering a safety warning signal are read and transmitted to a pre-constructed database. If the similarity evaluation index obtained by analyzing the temperature changes of a certain type of thermal standby electrical appliances within the set time window at a certain moment in the future and the temperature changes of the corresponding classified thermal standby electrical appliances in the database is less than the corresponding preset reference similarity value, the warning risk signal is triggered, and the specific hidden danger signal triggered by the corresponding classified thermal standby electrical appliances in the database is extracted, and then sent to the management personnel.

[0040] As a preferred embodiment of the present invention, the specific steps of obtaining the similarity evaluation index are:

[0041] The temperature parameters of various thermal standby electrical appliances in the area are collected in real time, and when the set time window is reached, the temperature values ​​of various thermal standby electrical appliances at different time points within the set time window are extracted as the temperature change data to be evaluated, and at the same time, the temperature values ​​of the corresponding classified abnormal electrical appliances at different time points within the set time window before the safety warning signal is triggered are extracted from the database as matching temperature change data;

[0042] The mean square error is used to calculate the temperature change data to be evaluated and the matching temperature change data, and the mean square error value between each type of hot standby electrical appliance and the corresponding classified abnormal electrical appliances in the database is obtained;

[0043] The temperature change data to be evaluated and the matching temperature change data are fitted using a linear regression algorithm to obtain a fitting straight line corresponding to the temperature change data to be evaluated and a fitting straight line corresponding to the matching temperature change data of various types of thermal standby electrical appliances;

[0044] Calculate the determination coefficients of the two groups of fitting straight lines respectively; calculate the difference between the determination coefficients of the temperature change data to be evaluated and the determination coefficients of the matching temperature change data for each type of thermal standby electrical appliance, and then take the absolute value to obtain the determination coefficient difference between each type of thermal standby electrical appliance and the corresponding classified abnormal electrical appliance in the database;

[0045] The weight coefficients corresponding to the mean square error value and the determination coefficient difference are set respectively, and the mean square error value and the determination coefficient difference between each type of thermal standby electrical appliance and the corresponding classified abnormal electrical appliance in the database are multiplied by the corresponding set weight coefficients respectively, and then the sum is obtained to obtain the similarity evaluation index between each type of thermal standby electrical appliance and the corresponding classified abnormal electrical appliance in the database.

[0046] Compared with the prior art, the present invention has the following beneficial effects:

[0047] The present invention sets high temperature reference values ​​for various types of thermal standby electrical appliances and monitors their temperature values ​​in real time. Once the temperature reaches the set value, the appliance is immediately marked as an abnormal appliance, and a safety warning signal is triggered. After the safety warning signal is triggered, the power supply of the abnormal appliance is disconnected, and then the electrical, heat dissipation and performance parameters within the set time window before the warning is triggered are extracted for evaluation. The specific hidden danger cause of the abnormal appliance triggering the safety warning signal is determined based on the evaluation results, which solves the problem of the singleness of the electrical appliance safety monitoring means in the prior art, which can only monitor the temperature of the electrical appliance and notify personnel to handle it when the temperature reaches the set value.

[0048] The present invention collects and stores abnormal electrical appliance temperature change data in a database, analyzes the similarity evaluation index between new temperature data and historical data, and triggers a warning risk signal if it is less than a reference value and extracts a hidden danger signal to send to management personnel. This can provide early warning when a similar temperature change trend occurs again in hot standby appliances, thus avoiding the limitations of relying solely on current data judgment, enhancing the ability to identify potential hidden dangers, and improving the comprehensiveness of monitoring. BRIEF DESCRIPTION OF THE DRAWINGS

[0049] In order to facilitate understanding by those skilled in the art, the present invention is further described below with reference to the accompanying drawings.

[0050] Figure 1 It is a principle block diagram of the present invention. DETAILED DESCRIPTION

[0051] The technical solution of the present invention will be clearly and completely described below in conjunction with the embodiments. Obviously, the described embodiments are only part of the embodiments of the present invention, rather than all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0052] See also Figure 1 As shown, a long-term hot standby electrical appliance operation safety monitoring and regulation system includes a safety monitoring module, an electrical appliance evaluation module and an early warning regulation module;

[0053] The safety monitoring module is used to set the high temperature reference values ​​corresponding to various types of hot standby electrical appliances in the area; various types of hot standby electrical appliances also include but are not limited to home entertainment appliances, network communication appliances and office appliances; the temperature values ​​of various types of hot standby electrical appliances in the area are monitored in real time. If the temperature value of a certain type of hot standby electrical appliance reaches the corresponding set high temperature reference value at a certain moment, the hot standby electrical appliance that reaches the high temperature reference value will be marked as an abnormal electrical appliance, and a safety warning signal will be triggered and sent to the electrical appliance evaluation module and the warning adjustment module;

[0054] The electrical appliance assessment module is used to receive the triggered safety warning signal and execute corresponding steps;

[0055] Specifically:

[0056] S1: disconnect the power supply of the abnormal electrical appliance corresponding to the safety warning signal, and then execute step S2;

[0057] S2: extracting electrical parameters, heat dissipation parameters and performance parameters of the abnormal electrical appliance within a set time window before triggering the safety warning signal, and evaluating them respectively, so as to determine the electrical abnormality index yu1, heat dissipation abnormality index yu2 and performance abnormality index yu3 of the abnormal electrical appliance within the set time window before triggering the safety warning signal, and executing step S3 after determining each index; wherein the electrical parameters include current and voltage, the heat dissipation parameters include heat sink temperature, and the performance parameters include component capacitance value;

[0058] Determine the electrical abnormality index yu1 of the abnormal electrical appliance within the set time window before triggering the safety warning signal, specifically:

[0059] S2-201: Acquire a standby current data sequence of the abnormal electrical appliance within a set time window before triggering a safety warning signal, wherein the sequence includes the standby current data of the abnormal electrical appliance at each time point within the set time window;

[0060] Set the standard current range corresponding to the abnormal electrical appliance; the standard current range can be set by comparing the standard current range of the appliance in normal hot standby mode, by consulting the product manual or the statistics of past normal operation data;

[0061] Compare each group of standby current data in the standby current data sequence with the set standard current range, identify each group of standby current data in the standby current data sequence that is outside the standard current range, and count the number as the number of abnormal currents of abnormal electrical appliances within the set time window, and calculate the ratio of the number of abnormal currents to the total number of standby current data in the standby current data sequence, that is, the number of abnormal currents / the total number of standby current data, to obtain the abnormal current ratio of the abnormal electrical appliances within the set time window;

[0062] The standard deviation formula is used to calculate each group of standby current data in the standby current data sequence, so as to obtain the abnormal current fluctuation value of the abnormal electrical appliance within the set time window;

[0063] Acquire a standby voltage data sequence of the abnormal electrical appliance within a set time window before triggering a safety warning signal, wherein the sequence includes the standby voltage data of the abnormal electrical appliance at each time point within the set time window;

[0064] Obtain the normal rated voltage range corresponding to the abnormal electrical appliance, and compare the standby voltage data sequence with the rated voltage range, count the number of standby voltage data outside the rated voltage range as the number of abnormal voltages, and calculate the ratio of the number of abnormal voltages to the total number of standby voltage data in the standby voltage data sequence, that is, the number of abnormal voltages / the total number of standby voltage data, to obtain the abnormal voltage ratio of the abnormal electrical appliance within the set time window;

[0065] The standard deviation formula is used to calculate each group of standby voltage data in the standby voltage data sequence, so as to obtain the abnormal voltage fluctuation value of the abnormal electrical appliance within the set time window;

[0066] Reference values ​​of abnormal current ratio, abnormal current fluctuation value, abnormal voltage ratio and abnormal voltage fluctuation value corresponding to abnormal electrical appliances are preset; wherein the reference values ​​include abnormal current reference ratio, abnormal current reference fluctuation value, abnormal voltage reference ratio and abnormal voltage reference fluctuation value; the abnormal current reference ratio, abnormal current reference fluctuation value, abnormal voltage reference ratio and abnormal voltage reference fluctuation value are set according to the data performance of the abnormal electrical appliances under normal operation;

[0067] Setting weight coefficients corresponding to abnormal current ratio, abnormal current fluctuation value, abnormal voltage ratio and abnormal voltage fluctuation value of abnormal electrical appliances respectively;

[0068] The abnormal current ratio, abnormal current fluctuation value, abnormal voltage ratio and abnormal voltage fluctuation value of the abnormal electrical appliance are calculated with the corresponding reference values ​​respectively, and each group of calculated ratios are multiplied by the corresponding set weight coefficients and then summed, and the summed result is divided by the integer four to obtain the electrical abnormality index yu1 of the abnormal electrical appliance within the set time window before triggering the safety warning signal; the ratio calculation is abnormal current ratio / abnormal current reference ratio, abnormal current fluctuation value / abnormal current reference fluctuation value, abnormal voltage ratio / abnormal voltage reference ratio and abnormal voltage fluctuation value / abnormal voltage reference fluctuation value;

[0069] It should be noted that when the temperature of the hot standby appliance has exceeded the preset threshold, the analysis results of the electrical anomaly index can be used as a basis for monitoring and evaluation. If the electrical anomaly index is high within the set time window, it means that the high temperature of the hot standby appliance is caused by an electrical fault.

[0070] Determine the heat dissipation abnormality index yu2 of the abnormal electrical appliance within the set time window before triggering the safety warning signal, specifically:

[0071] S2-202: Obtain the temperature values ​​of the heat sinks at different locations of the abnormal electrical appliance at each time point within a set time window before triggering the safety warning signal;

[0072] The average values ​​of the heat sink temperature values ​​at different positions at each time point are calculated respectively, so as to determine the comprehensive temperature values ​​of the heat sink at different positions within the set time window;

[0073] Set the normal temperature difference threshold corresponding to abnormal electrical appliances; different types of electrical appliances and heat sinks may have different normal temperature difference thresholds;

[0074] The standard deviation formula is used to calculate the comprehensive temperature values ​​of different positions of the heat sink, so as to obtain the temperature difference value of the heat sink corresponding to the abnormal electrical appliance;

[0075] The temperature difference value of the abnormal electrical appliance is calculated by ratio with the set normal temperature difference threshold value, that is, the temperature difference value / normal temperature difference threshold value is calculated; the heat sink discrete value of the abnormal electrical appliance is obtained;

[0076] Extract the comprehensive temperature values ​​of each group corresponding to the start time and end time of the abnormal electrical appliance within the set time window;

[0077] The average of the temperature comprehensive values ​​of each group within the starting time is taken as the starting comprehensive value of the heat sink, and the average of the temperature comprehensive values ​​of each group at the ending time is taken as the ending comprehensive value of the heat sink;

[0078] The heat is calculated according to the formula Q=m×c×(end comprehensive value-start comprehensive value), where m is the mass of the heat sink and c is the specific heat capacity of the heat sink; the calculated heat Q is divided by the set time window to obtain the heat dissipation rate of the abnormal electrical heat sink within the set time window;

[0079] The heat dissipation rate of the abnormal electrical appliance is calculated by ratio with the preset normal heat dissipation rate, that is, the heat dissipation rate value of the abnormal electrical appliance is obtained by normal heat dissipation rate / heat dissipation rate; wherein the normal heat dissipation rate is set according to the heat dissipation rate of the heat sink under the normal heat transfer efficiency standard;

[0080] Set the weight coefficients corresponding to the heat sink discrete value and the heat sink rate value respectively, multiply the heat sink discrete value and the heat sink rate value of the abnormal electrical appliance by the corresponding set weight coefficients respectively, and then sum them, and divide the sum result by the integer 2 to obtain the heat dissipation abnormality index yu2 of the abnormal electrical appliance within the set time window before triggering the safety warning signal;

[0081] It should be noted that when the temperature of the hot standby appliance has exceeded the preset threshold, the analysis results of the heat dissipation anomaly index can be used as a basis for monitoring and evaluation. If the heat dissipation anomaly index is high within the set time window, it means that the high temperature of the hot standby appliance is caused by an abnormal heat sink.

[0082] Determine the performance abnormality index yu3 of the abnormal electrical appliance within the set time window before triggering the safety warning signal, specifically:

[0083] S2-203: Obtain the capacitance value of each component of the abnormal electrical appliance corresponding to the triggering safety warning signal within the set time window; it is necessary to identify the key capacitance components inside the abnormal electrical appliance, and perform targeted capacitance value collection and acquisition according to different electrical appliances;

[0084] Set the nominal capacitance of each component corresponding to the abnormal electrical appliance; obtain it by checking the outer shell mark of the capacitor or consulting the component list of the corresponding electrical appliance;

[0085] The average capacitance value of each component of the abnormal electrical appliance at different measurement time points within the set time window is calculated to obtain the comprehensive capacitance value of each component, and the relative deviation value between the comprehensive capacitance value of each component and the corresponding nominal capacitance is calculated, that is, through the formula ; Where c1 and c2 represent the comprehensive capacitance value and corresponding nominal capacitance of each component respectively;

[0086] Set the allowable threshold of the relative deviation value corresponding to each component of the abnormal electrical appliance. If the relative deviation value of a component of the abnormal electrical appliance is higher than the corresponding allowable threshold, it is determined to be an abnormal component;

[0087] Calculate the proportion of the number of abnormal components in the total number of abnormal electrical components, so as to obtain the performance abnormality index yu3 of the abnormal electrical appliance within the set time window before triggering the safety warning signal;

[0088] It should be noted that when the temperature of the hot standby appliance has exceeded the preset threshold, the analysis results of the performance abnormality index can be used as a basis for monitoring and evaluation. If the performance abnormality index is high within the set time window, it means that the high temperature of the hot standby appliance is caused by component abnormality.

[0089] S3: setting threshold indices corresponding to electrical abnormality index yu1, heat dissipation abnormality index yu2 and performance abnormality index yu3 of various types of hot standby electrical appliances, and comparing the electrical abnormality index yu1, heat dissipation abnormality index yu2 and performance abnormality index yu3 of the abnormal electrical appliances with the corresponding set threshold indices, and triggering corresponding hidden danger signaling if a group of indexes is greater than the corresponding set threshold indices; wherein the hidden danger signaling includes electrical signaling, heat dissipation signaling and performance signaling, and the triggered specific hidden danger signaling is sent to the management personnel;

[0090] The early warning adjustment module is used to read the temperature change of abnormal electrical appliances within the set time window before triggering the safety early warning signal, and transmit it to the pre-built database. If the similarity evaluation index obtained by analyzing the temperature change of a certain type of hot standby electrical appliances within the set time window at a certain moment in the future and the temperature change of the corresponding classified hot standby electrical appliances in the database is less than the corresponding preset reference similarity value, the early warning risk signal is triggered, and the specific hidden danger signal triggered by the corresponding classified hot standby electrical appliances in the database is extracted and then sent to the management personnel;

[0091] Specifically:

[0092] The temperature parameters of various thermal standby electrical appliances in the area are collected in real time, and when the set time window is reached, the temperature values ​​of various thermal standby electrical appliances at different time points within the set time window are extracted as the temperature change data to be evaluated, and at the same time, the temperature values ​​of the corresponding classified abnormal electrical appliances at different time points within the set time window before the safety warning signal is triggered are extracted from the database as matching temperature change data;

[0093] The mean square error is used to calculate the temperature change data to be evaluated and the matching temperature change data, and the mean square error value between each type of hot standby electrical appliance and the corresponding classified abnormal electrical appliances in the database is obtained;

[0094] It should be noted that M1 is based on the formula Calculated, where n is the number of time points, are the temperature values ​​of each group in the temperature change data to be evaluated, To match each group of temperature values ​​in the temperature change data.

[0095] The temperature change data to be evaluated and the matching temperature change data are fitted using a linear regression algorithm to obtain a fitting straight line corresponding to the temperature change data to be evaluated and a fitting straight line corresponding to the matching temperature change data of various types of thermal standby electrical appliances;

[0096] Calculate the determination coefficients of the two groups of fitting straight lines respectively; calculate according to the determination coefficient calculation formula; calculate the difference between the determination coefficients of the temperature change data to be evaluated and the determination coefficients of the matching temperature change data for each type of thermal standby electrical appliance, and then take the absolute value to obtain the determination coefficient difference between each type of thermal standby electrical appliance and the corresponding classified abnormal electrical appliance in the database;

[0097] The weight coefficients corresponding to the mean square error value and the determination coefficient difference are set respectively, and the mean square error value and the determination coefficient difference between each type of thermal standby electrical appliance and the corresponding classified abnormal electrical appliance in the database are multiplied by the corresponding set weight coefficients respectively, and then the sum is obtained to obtain the similarity evaluation index between each type of thermal standby electrical appliance and the corresponding classified abnormal electrical appliance in the database;

[0098] It should be noted that by combining the two different dimensional indicators of mean square error and determination coefficient to measure the similarity of the temperature change data of thermal standby appliances, the one-sidedness that may be caused by relying on only a single indicator is avoided. The mean square error focuses on reflecting the discreteness of the two sets of temperature data from the perspective of numerical differences, that is, the difference in temperature values ​​at each time point; while the determination coefficient focuses on reflecting the degree of fit of the data change trend after fitting the linear regression model. This comprehensive consideration can more comprehensively capture the similar characteristics of temperature changes in both numerical values ​​and trends, making the assessment of similarity more accurate and reliable.

[0099] It should be noted that if the similarity evaluation index between a certain type of hot standby electrical appliances and multiple groups of abnormal electrical appliances of corresponding categories in the database is less than the preset reference similarity value, the specific hidden danger signals of the multiple groups of abnormal electrical appliances are identified and sent to the management personnel at the same time.

[0100] The preferred embodiments of the present invention disclosed above are only used to help explain the present invention. The preferred embodiments do not describe all the details in detail, nor do they limit the invention to only specific implementation methods. Obviously, many modifications and changes can be made according to the content of this specification. This specification selects and specifically describes these embodiments in order to better explain the principles and practical applications of the present invention, so that those skilled in the art can understand and use the present invention well. The present invention is limited only by the claims and their full scope and equivalents.

Claims

1. A long-term thermal standby electrical appliance operation safety monitoring and adjustment system, characterized in that: include: Safety monitoring module: set the high temperature reference value corresponding to various hot standby electrical appliances in the area; Real-time monitoring of the temperature values ​​of various types of thermal standby electrical appliances in the area. If the temperature value of a certain type of thermal standby electrical appliance reaches the corresponding set high temperature reference value at a certain moment, the thermal standby electrical appliance that reaches the high temperature reference value will be marked as an abnormal electrical appliance, and a safety warning signal will be triggered and sent to the electrical appliance evaluation module and the warning adjustment module; Electrical appliance assessment module: used to receive triggered safety warning signals and execute corresponding steps; Specifically: S1: disconnect the power supply of the abnormal electrical appliance corresponding to the safety warning signal, and then execute step S2; S2: extracting electrical parameters, heat dissipation parameters and performance parameters of the abnormal electrical appliance within a set time window before triggering the safety warning signal, and evaluating them respectively, so as to determine the electrical abnormality index yu1, heat dissipation abnormality index yu2 and performance abnormality index yu3 of the abnormal electrical appliance within the set time window before triggering the safety warning signal, and executing step S3 after determining each index; S3: setting threshold indices corresponding to electrical abnormality index yu1, heat dissipation abnormality index yu2 and performance abnormality index yu3 of various types of hot standby electrical appliances, and comparing the electrical abnormality index yu1, heat dissipation abnormality index yu2 and performance abnormality index yu3 of the abnormal electrical appliances with the corresponding set threshold indices, and triggering corresponding hidden danger signaling if a group of indexes is greater than the corresponding set threshold indices; wherein the hidden danger signaling includes electrical signaling, heat dissipation signaling and performance signaling, and the triggered specific hidden danger signaling is sent to the management personnel; Early warning adjustment module: reads the temperature change of abnormal electrical appliances within the set time window before triggering the safety early warning signal, and transmits it to the pre-built database. If the similarity evaluation index obtained by analyzing the temperature change of a certain type of hot standby electrical appliances within the set time window at a certain moment in the future and the temperature change of the corresponding classified hot standby electrical appliances in the database is less than the corresponding preset reference similarity value, the early warning risk signal is triggered, and the specific hidden danger signal triggered by the corresponding classified hot standby electrical appliances in the database is extracted and sent to the management personnel; The specific steps to obtain the similarity evaluation index are: The temperature parameters of various thermal standby electrical appliances in the area are collected in real time, and when the set time window is reached, the temperature values ​​of various thermal standby electrical appliances at different time points within the set time window are extracted as the temperature change data to be evaluated, and at the same time, the temperature values ​​of the corresponding classified abnormal electrical appliances at different time points within the set time window before the safety warning signal is triggered are extracted from the database as matching temperature change data; The mean square error is used to calculate the temperature change data to be evaluated and the matching temperature change data, and the mean square error value between each type of hot standby electrical appliance and the corresponding classified abnormal electrical appliances in the database is obtained; The temperature change data to be evaluated and the matching temperature change data are fitted using a linear regression algorithm to obtain a fitting straight line corresponding to the temperature change data to be evaluated and a fitting straight line corresponding to the matching temperature change data of various types of thermal standby electrical appliances; Calculate the determination coefficients of the two groups of fitting straight lines respectively; calculate the difference between the determination coefficients of the temperature change data to be evaluated and the determination coefficients of the matching temperature change data for each type of thermal standby electrical appliance, and then take the absolute value to obtain the determination coefficient difference between each type of thermal standby electrical appliance and the corresponding classified abnormal electrical appliance in the database; The weight coefficients corresponding to the mean square error value and the determination coefficient difference are set respectively, and the mean square error value and the determination coefficient difference between each type of thermal standby electrical appliance and the corresponding classified abnormal electrical appliance in the database are multiplied by the corresponding set weight coefficients respectively, and then the sum is obtained to obtain the similarity evaluation index between each type of thermal standby electrical appliance and the corresponding classified abnormal electrical appliance in the database.

2. A long-term thermal standby electrical appliance operation safety monitoring and adjustment system according to claim 1, characterized in that: Determine the electrical abnormality index yu1 of the abnormal electrical appliance within the set time window before triggering the safety warning signal, specifically: Acquire a standby current data sequence of the abnormal electrical appliance within a set time window before triggering a safety warning signal, wherein the sequence includes the standby current data of the abnormal electrical appliance at each time point within the set time window; Set a standard current range corresponding to the abnormal electrical appliance; compare each group of standby current data in the standby current data sequence with the set standard current range, identify each group of standby current data in the standby current data sequence that is outside the standard current range, and count the number as the number of abnormal currents of the abnormal electrical appliance within the set time window, and calculate the ratio of the number of abnormal currents to the total number of standby current data in the standby current data sequence, that is, the number of abnormal currents / the total number of standby current data, to obtain the abnormal current ratio of the abnormal electrical appliance within the set time window; The standard deviation formula is used to calculate each group of standby current data in the standby current data sequence, so as to obtain the abnormal current fluctuation value of the abnormal electrical appliance within the set time window; Acquire a standby voltage data sequence of the abnormal electrical appliance within a set time window before triggering a safety warning signal, wherein the sequence includes the standby voltage data of the abnormal electrical appliance at each time point within the set time window; Obtain the normal rated voltage range corresponding to the abnormal electrical appliance, and compare the standby voltage data sequence with the rated voltage range, count the number of standby voltage data outside the rated voltage range as the number of abnormal voltages, and calculate the ratio of the number of abnormal voltages to the total number of standby voltage data in the standby voltage data sequence, that is, the number of abnormal voltages / the total number of standby voltage data, to obtain the abnormal voltage ratio of the abnormal electrical appliance within the set time window; The standard deviation formula is used to calculate each group of standby voltage data in the standby voltage data sequence, so as to obtain the abnormal voltage fluctuation value of the abnormal electrical appliance within the set time window; Preset reference values ​​of abnormal current ratio, abnormal current fluctuation value, abnormal voltage ratio and abnormal voltage fluctuation value corresponding to abnormal electrical appliances; The reference values ​​include an abnormal current reference ratio, an abnormal current reference fluctuation value, an abnormal voltage reference ratio and an abnormal voltage reference fluctuation value.

3. A long-term thermal standby electrical appliance operation safety monitoring and adjustment system according to claim 2, characterized in that: Determining the electrical abnormality index yu1 of the abnormal electrical appliance within a set time window before triggering the safety warning signal, further comprising: Setting weight coefficients corresponding to abnormal current ratio, abnormal current fluctuation value, abnormal voltage ratio and abnormal voltage fluctuation value of abnormal electrical appliances respectively; The abnormal current ratio, abnormal current fluctuation value, abnormal voltage ratio and abnormal voltage fluctuation value of the abnormal electrical appliance are calculated with the corresponding reference values ​​respectively, each group of calculated ratios is multiplied by the corresponding set weight coefficient and then summed up, and the summed result is divided by the integer four to obtain the electrical abnormality index yu1 of the abnormal electrical appliance within the set time window before triggering the safety warning signal.

4. A long-term thermal standby electrical appliance operation safety monitoring and adjustment system according to claim 3, characterized in that: Determine the heat dissipation abnormality index yu2 of the abnormal electrical appliance within the set time window before triggering the safety warning signal, specifically: Obtain the heat sink temperature values ​​at different locations of the abnormal electrical heat sink at each time point within the set time window before triggering the safety warning signal; The average values ​​of the heat sink temperature values ​​at different positions at each time point are calculated respectively, so as to determine the comprehensive temperature values ​​of the heat sink at different positions within the set time window; Set the normal temperature difference threshold corresponding to the abnormal electrical appliance; use the standard deviation formula to calculate the comprehensive temperature value of the heat sink at different positions, so as to obtain the temperature difference value of the heat sink corresponding to the abnormal electrical appliance; The temperature difference value of the abnormal electrical appliance is calculated by ratio with the set normal temperature difference threshold value, that is, the temperature difference value / normal temperature difference threshold value is calculated; the heat sink discrete value of the abnormal electrical appliance is obtained; Extract the comprehensive temperature values ​​of each group corresponding to the start time and end time of the abnormal electrical appliance within the set time window; The average of the temperature comprehensive values ​​of each group within the starting time is taken as the starting comprehensive value of the heat sink, and the average of the temperature comprehensive values ​​of each group at the ending time is taken as the ending comprehensive value of the heat sink; The heat is calculated according to the formula Q=m×c×(end comprehensive value-start comprehensive value), where m is the mass of the heat sink and c is the specific heat capacity of the heat sink; the calculated heat Q is divided by the set time window to obtain the heat dissipation rate of the abnormal electrical heat sink within the set time window; Calculate the ratio of the heat dissipation rate of the abnormal electrical appliance to the preset normal heat dissipation rate, that is, the heat sink rate value of the abnormal electrical appliance is obtained by dividing the normal heat dissipation rate by the heat dissipation rate; Set the weight coefficients corresponding to the heat sink discrete value and the heat sink rate value respectively, multiply the heat sink discrete value and the heat sink rate value of the abnormal electrical appliance by the corresponding set weight coefficients and then sum them, and divide the sum by the integer 2 to obtain the heat dissipation anomaly index yu2 of the abnormal electrical appliance within the set time window before triggering the safety warning signal.

5. A long-term thermal standby electrical appliance operation safety monitoring and adjustment system according to claim 4, characterized in that: Determine the performance abnormality index yu3 of the abnormal electrical appliance within the set time window before triggering the safety warning signal, specifically: Obtain the capacitance value of each component of the abnormal electrical appliance corresponding to the triggering safety warning signal within the set time window; set the nominal capacitance of each component corresponding to the abnormal electrical appliance; calculate the average capacitance value of each component of the abnormal electrical appliance at different measurement time points within the set time window to obtain the comprehensive capacitance value of each component, and calculate the relative deviation value between the comprehensive capacitance value of each component and the corresponding nominal capacitance, that is, through the formula ; Where C1 and C2 represent the comprehensive capacitance value and corresponding nominal capacitance of each component respectively; Set the allowable threshold of the relative deviation value corresponding to each component of the abnormal electrical appliance. If the relative deviation value of a component of the abnormal electrical appliance is higher than the corresponding allowable threshold, it is determined to be an abnormal component; calculate the proportion of the number of abnormal components in the total number of abnormal electrical components, so as to obtain the performance abnormality index yu3 of the abnormal electrical appliance within the set time window before triggering the safety warning signal.

Images