Safety risk identification method, device and medium for public electrical facilities in high-rise buildings

Abstract

The present invention belongs to the technical field of electrical facility safety management, specifically a method, device and medium for identifying safety risks of public electrical facilities in high-rise buildings, the steps of which include obtaining the working data of public electrical facilities in real time from the building electrical system, and comparing the obtained working data of public electrical facilities with the working threshold interval of public electrical facilities in the database to determine whether the public electrical facilities are faulty; issuing a fault warning when the public electrical facilities are faulty, and statistically analyzing the data of the faulty public electrical facilities, and calculating the safety risk level of the public electrical facilities based on the statistical data. The present invention can quickly determine whether the public electrical facilities are faulty, can eliminate the fault risk at the first time, further analyze the data when determining the fault, calculate the safety risk level of the public electrical facilities, and execute the corresponding fault control strategy according to the safety risk level of the public electrical facilities, classify the faults, and effectively reduce the probability of ineffective fire fighting.

Description

Technical Field

[0001] The present invention belongs to the technical field of electrical facility safety management, and specifically relates to a method, device and medium for identifying safety risks of public electrical facilities in high-rise buildings. Background Art

[0002] In recent years, with the acceleration of economic development and urbanization, high-rise and super-high-rise buildings have continued to increase, and people are increasingly concerned about the safety and comfort of buildings. Among them, the building electrical system is particularly important, including the power distribution system, lighting system, weak current system, power equipment system, lightning protection and grounding devices, etc.

[0003] Among the building electrical systems, some of the electrical facilities are public electrical facilities, such as corridor access control, lighting fixtures, elevators, aviation obstruction indicator lights, etc. The complexity and large-scale of the building electrical structure lead to the intricate connections between the various subsystems, which also greatly increases the probability of building electrical failures. Once the building electrical system fails, it may cause power outages for maintenance at the least, or cause electrical equipment short circuits, local damage, or even fire accidents at the worst.

[0004] However, at present, troubleshooting of building electrical systems is still basically carried out according to the process of manual detection, fault cause finding, and manual emergency repair. The length of fault recovery time depends largely on the electrician's personal experience.

[0005] Among the existing patents, CN111601082B discloses a building fire monitoring and management system, which includes a fire monitoring subsystem, a fire management subsystem, a fire data cloud platform and a fire alarm processing subsystem; the fire monitoring subsystem is connected to the fire management subsystem in communication, the fire data cloud platform is connected to the fire monitoring subsystem and the fire management subsystem in communication, and the fire alarm processing subsystem is wirelessly connected to the fire management subsystem; the fire monitoring subsystem includes a monitoring module, a smoke concentration detection module, a temperature detection module, a fire pipe network monitoring module and an electrical fire early warning monitoring module; the fire management subsystem includes a central processing unit, a display module, a voice broadcast module, a storage module, a data analysis module, an automatic alarm module, a remote communication module and an alarm module. The invention can automatically monitor the fire status of a building, and can timely alarm and notify firefighters, thereby improving the safety performance of the building.

[0006] However, the core idea of ​​the solution recorded in the above patent is to build a complete monitoring system that can monitor accidents as soon as they occur and promptly feed back accident information to the fire department. However, the above solution, like the prior art, builds an overall monitoring framework, the main purpose of which is to monitor whether there are abnormal situations. It cannot effectively judge the fault situation. Therefore, it often only issues early warnings and notifies the fire department to eliminate the danger when danger occurs, such as when a fire occurs. However, in actual situations, it is already quite dangerous at this time. There are also some existing systems that notify the fire department when an abnormality occurs, and often notify the fire department due to minor faults (which will not cause a fire), which greatly increases the workload of firefighters and causes unnecessary panic. Summary of the invention

[0007] 1. Technical issues to be resolved

[0008] In view of the deficiencies in the prior art, the present invention provides a method, device and medium for identifying safety risks of public electrical facilities in high-rise buildings, which can quickly determine whether the public electrical facilities are faulty and eliminate the fault risks as soon as possible. When the fault is determined, the data is further analyzed to calculate the safety risk level of the public electrical facilities, and the corresponding fault management and control strategies are implemented according to the safety risk level of the public electrical facilities to classify the faults, effectively reducing the probability of ineffective firefighting and greatly reducing the workload of firefighters.

[0009] (II) Technical solution

[0010] To achieve the above objectives, the present invention is implemented through the following technical solutions:

[0011] The safety risk identification method of public electrical facilities in high-rise buildings includes the following steps:

[0012] Acquire the working data of public electrical facilities from the building electrical system in real time, and compare the acquired working data of public electrical facilities with the working threshold interval of public electrical facilities in the database to determine whether the public electrical facilities are faulty, wherein the working data of public electrical facilities include current data, voltage data, temperature data and noise data when the public electrical facilities are working;

[0013] When a public electrical facility fails, a fault warning is issued, and data on the failed public electrical facilities is collected, and the safety risk level of the public electrical facilities is calculated based on the statistical data.

[0014] Preferably, the steps of comparing the acquired working data of the public electrical facilities with the working threshold interval of the public electrical facilities in the database to determine whether the public electrical facilities are faulty are as follows:

[0015] The obtained N groups of public electrical facilities working data Gzsj are compared with the corresponding N groups of public electrical facilities working threshold intervals When one or more data in the N groups of data exceed the working threshold range, it is determined that the corresponding public electrical facilities may be faulty and marked as public electrical facilities in abnormal state, and a secondary judgment is made on the public electrical facilities in abnormal state;

[0016] Adjust the time interval for obtaining working data of public electrical facilities in abnormal conditions to 10%-20% of the time interval in the fault-free state, collect working data of K possible faulty devices, and compare and obtain the maximum value among the K working data. ;

[0017] The maximum value among the K working data Working threshold interval with public electrical facilities Compare, when the maximum value among K working data When the working threshold value is exceeded, the public electrical facility is determined to be faulty;

[0018] When the maximum value among K working data When it is within the working threshold range, the data collection cycle returns to normal and it is determined that there is no fault in the current public electrical facilities.

[0019] Preferably, the steps of collecting data of faulty public electrical facilities and calculating the safety risk level of the public electrical facilities based on the statistical data are as follows:

[0020] Collect data on faulty public electrical facilities and analyze the number of faulty public electrical facilities;

[0021] When the number of faulty public electrical facilities is a group, the fault levels of the faulty public electrical facilities are directly calculated;

[0022] The fault level is calculated as follows:

[0023] ;

[0024] Where Gzdj is the fault level, jcsj is the fault working data with the largest abnormality of the detected faulty public electrical facilities, and Ssxs is the level coefficient corresponding to the public electrical facilities;

[0025] When there are multiple groups of faulty public electrical facilities, calculate the fault level of a single faulty public electrical facility;

[0026] Analyze the correlation coefficients between newly added faulty public electrical facilities of different categories;

[0027] The formula for calculating the comprehensive fault level based on the correlation coefficient between the newly added faulty public electrical facilities and the fault level of the faulty public electrical facilities is as follows:

[0028] ;

[0029] Where Zhdj is the comprehensive fault level, is the maximum correlation coefficient between the lth type of faulty public electrical facilities and other types of faulty public electrical facilities, L is the number of newly added types of faulty public electrical facilities, Xzxs is the constant correction coefficient, m is the number of faulty equipment, is the fault level of the i-th group of faulty public electrical facilities.

[0030] Preferably, the steps of analyzing the correlation between newly added faulty public electrical facilities of different categories are as follows:

[0031] Get the categories of newly added faulty public electrical facilities;

[0032] Retrieving and extracting pre-calculated correlation coefficients between public electrical utilities;

[0033] The formula for calculating the correlation coefficient based on the historical fault data of public electrical facilities is as follows:

[0034] ;

[0035] In the formula, , D is the number of historical fault data, Glxs is the correlation coefficient between two categories of public electrical facilities, x d is the historical fault data of group d of public electrical facilities, y d This is the dth group of historical fault data of another public electrical facility.

[0036] Preferably, it also includes adjusting the fault warning according to the safety risk level of the public electrical facilities, and obtaining the corresponding fault control strategy from the database according to the safety risk level of the public electrical facilities. The specific steps are as follows:

[0037] Compare the safety risk level of public electrical facilities with the thresholds recorded in the database to determine the degree of fault danger;

[0038] Obtain fault control strategies based on the degree of danger;

[0039] When the number of faulty public electrical facilities is a group, if the fault level Gzdj is less than or equal to the preset value P1, the fault danger level is normal; if the fault level Gzdj is greater than or equal to the preset value P1, the fault danger level is severe;

[0040] When there are multiple groups of faulty public electrical facilities, if the comprehensive fault level Zhdj is less than or equal to the preset value P2, the fault risk level is normal; if the comprehensive fault level Zhdj is greater than or equal to the preset value P2, the fault risk level is severe;

[0041] When the fault risk level is normal, the fault control strategy is to mark the faulty public electrical facility data, and the time interval for obtaining the faulty public electrical facility data is adjusted to 5%-10% of the time interval in the fault-free state;

[0042] When the fault risk level is serious, the fault control strategy obtained is to cut off the power supply of the faulty public electrical facilities.

[0043] Preferably, it also includes continuously acquiring working data of the faulty public electrical facilities and environmental data of the faulty public electrical facilities area, and comparing the continuously acquired data with the working threshold range until the fault is resolved. The environmental data of the faulty public electrical facilities area includes temperature data, special gas content monitoring data and smoke content data.

[0044] Preferably, comparing the continuously acquired data with the standard working threshold interval includes comparing the acquired public electrical facility working data with the working threshold interval of the public electrical facility in the database, determining whether the public electrical facility is faulty, and calculating the danger diffusion level based on the environmental data of the faulty public electrical facility area;

[0045] The calculation formula for the dangerous diffusion level Wxks of faulty public electrical facilities is as follows:

[0046] ;

[0047] In the formula, is the u-th environmental data monitored at time t, Hjdj is the environmental abnormality level, is the uth environmental data monitored before the facility failure. is the risk diffusion coefficient corresponding to the change ratio of environmental data, U is the number of monitored environmental data of faulty public electrical equipment, when When setting ;

[0048] When the danger diffusion level of the faulty public electrical facilities gradually increases to the set danger value Sdz or the increase in the danger diffusion level is greater than the set danger change value Bhz, the fire warning is activated;

[0049] The formula for calculating the change range of the dangerous diffusion level is as follows:

[0050] ;

[0051] Where Wxbh is the variation range of the dangerous diffusion level, is the dangerous diffusion level of the faulty public electrical facilities at time t, for The danger spread level of faulty public electrical facilities at the moment;

[0052] When the number of faulty public electrical facilities is a group, the fault is cleared when the working data of the public electrical facilities is within the working threshold range of the public electrical facilities in the database, and the difference ratio between the environmental abnormality level of the faulty public electrical facilities and the environmental abnormality level of the nearest normal state similar equipment is calculated, and the difference ratio is less than the set danger level ratio;

[0053] The formula for calculating the difference ratio between the environmental abnormality level of the faulty public electrical facility and the environmental abnormality level of the nearest normal similar equipment is as follows:

[0054] ;

[0055] Where Czbl is the difference ratio, is the environmental abnormality level of the faulty public electrical facilities, The abnormal level of the environment of the same type of equipment in the most recent normal state;

[0056] When there are multiple groups of faulty public electrical facilities, the fault clearance is to obtain the difference ratio between the environmental abnormality level of the faulty public electrical facilities and the environmental abnormality level of the nearest normal area, and the difference ratio is less than the set danger level ratio, and there is no fault status after manual verification.

[0057] Preferably, the method further includes acquiring fault data and corresponding fault management and control strategies, and aggregating and storing the fault data and corresponding fault management and control strategies in a database.

[0058] A safety risk identification device for public electrical facilities in high-rise buildings, comprising:

[0059] one or more processors;

[0060] a memory for storing one or more computer programs;

[0061] When one or more programs are executed by one or more processors, the one or more processors execute the above method.

[0062] A computer-readable storage medium stores executable instructions, which, when executed by a processor, enable the processor to execute the above method.

[0063] (III) Beneficial effects

[0064] The present invention has the following beneficial effects:

[0065] When in use, the present invention directly compares the acquired working data of the public electrical facilities with the working threshold intervals of the public electrical facilities stored in the database, so as to quickly determine whether the public electrical facilities are faulty and eliminate the fault risk at the first time. When the fault is determined, the data is further analyzed to calculate the safety risk level of the public electrical facilities, and the corresponding fault management and control strategies are executed according to the safety risk level of the public electrical facilities to classify the faults, thereby effectively reducing the probability of ineffective firefighting and greatly reducing the work intensity of firefighters. The use effect is good and has a good prospect for use.

[0066] The present invention determines the number of newly added faulty devices when a public electrical facility fails, thereby determining whether it is a conventional fault or a special fault. The two fault conditions are analyzed separately, which can improve the accuracy of safety risk level calculation, while reducing the frequency of data acquisition and increasing the categories of data analysis, which can help relevant personnel clearly understand the impact of the fault on the outside world and help relevant personnel formulate more reasonable measures. In addition, different fault elimination measures are adopted for the two situations, which can greatly improve the safety of troubleshooting of public electrical facilities in high-rise buildings and effectively reduce risks. BRIEF DESCRIPTION OF THE DRAWINGS

[0067] Figure 1 The present invention is a flowchart of the method for identifying safety risks of public electrical facilities in high-rise buildings. DETAILED DESCRIPTION

[0068] The technical solutions in the embodiments of the present invention are clearly and completely described below in conjunction with the accompanying drawings.

[0069] Design ideas

[0070] Currently, most of the judgments about whether firefighting is needed are based on the presence of fire data. When fire data is detected, the risk has already expanded to a certain extent. Therefore, early warning is needed to judge whether a fire has occurred in advance. However, in actual use, different equipment has different possibilities of causing fires and different degrees of danger. Therefore, the degree of attention is naturally different.

[0071] Therefore, during the research and development process, the initial idea was to set corresponding thresholds for each device and compare each device individually.

[0072] However, during actual research and development, it was found that due to the large number of building electrical equipment and too many thresholds, people could not remember them at all. Therefore, the above method completely relied on the system's warnings. When there were no warnings, it would affect the judgment of relevant personnel.

[0073] Therefore, in the middle of R&D, the idea is modified, all equipment data is analyzed and converted into the same set of threshold systems. At this time, the degree of participation of relevant technical personnel and the accuracy of judgments based on experience are greatly improved.

[0074] However, during actual research and development, it was found that it can only be applied to the judgment of single equipment failure. When encountering abnormal situations, such as lightning strikes or fluctuations in the power system, overvoltage causing large-scale failures, or abnormal power supply causing large-scale failures of public electrical facilities in high-rise buildings, there is a certain correlation between the failures and the hazard level is relatively large. At this time, the safety risk level of a single public electrical facility can no longer reflect the actual situation. Moreover, this situation generally involves multiple damages. If corresponding control measures are not taken, the harm will rapidly expand.

[0075] For example, if the power supply equipment is abnormal, the initial safety risk level is not high, and the impact on the working data of related equipment is not high. However, as time goes on, the impact each time is increasing rapidly. When the safety risk level of a single device reaches the threshold, the impact is very large, and a lot of equipment needs to be maintained. In addition, the power supply equipment may fail continuously, causing aging equipment and lines to fail, directly causing fires. Therefore, this solution is also not perfect.

[0076] Finally, after multiple analyses and processing, the following method was developed, which analyzes multiple public electrical equipment individually when they fail, thereby improving accuracy and further improving the applicability of the safety risk classification and identification method for public electrical facilities in multi-story buildings.

[0077] Study plan

[0078] This solution is based on the existing building electrical system (directly obtaining the public electrical facilities working data from the existing building electrical system) and the normal public electrical facilities working data stored in the database, and then uses a computer to analyze and compare the data to obtain the corresponding results.

[0079] The safety risk identification method of public electrical facilities in high-rise buildings includes the following steps:

[0080] Acquire the working data of public electrical facilities from the building electrical system in real time, and compare the acquired working data of public electrical facilities with the working threshold interval of public electrical facilities in the database to determine whether the public electrical facilities are faulty;

[0081] The public electric facility operation data includes current data, voltage data, temperature data and noise data when the public electric facility is operating.

[0082] Most public electrical facilities maintain their voltage, current, temperature and noise within a certain range during operation, especially the voltage data.

[0083] Although the temperature gradually increases with the use of the device, there is an upper limit of the normal operating temperature, and therefore, there is an operating threshold range.

[0084] The current and noise increase according to the change of the working intensity of the equipment, but, accordingly, they both have an upper limit.

[0085] Moreover, when a fault occurs, the data will change significantly and exceed the working threshold range. Therefore, it is possible to directly determine whether the device is faulty through the working threshold range.

[0086] When in use, you can also set multiple working threshold intervals, the innermost of which is the standard working threshold interval, and the range of other threshold intervals gradually expands. This type of setting is used for buildings that are precisely supervised and process a large amount of data, so there is no need to use this setting under normal circumstances.

[0087] The working threshold range is a fluctuating value. For example, the temperature threshold range can be adaptively adjusted in summer and winter. For example, the winter temperature threshold is 80%-90% of the summer temperature threshold. For example, the noise threshold range increases with the years of use. For example, the noise threshold for the next year is 100%-110% of the noise threshold for the previous year.

[0088] The specific values ​​of the working threshold range are set according to the equipment models in the building.

[0089] The steps of comparing the acquired working data of public electrical facilities with the working threshold interval of public electrical facilities in the database and determining whether the public electrical facilities are faulty are as follows:

[0090] The obtained N groups of public electrical facilities working data Gzsj are compared with the corresponding N groups of public electrical facilities working threshold intervals When one or more data in the N groups of data exceed the working threshold range, it is determined that the corresponding public electrical facilities may be faulty and marked as public electrical facilities in abnormal state, and a secondary judgment is made on the public electrical facilities in abnormal state;

[0091] There are N public electrical facilities in total, so N groups of public electrical facility working data Gzsj are collected, and each group of public electrical facility working data contains many items of data. Whenever one of the data is abnormal, it means that the public electrical facility corresponding to the group of public electrical facility working data is abnormal.

[0092] The main reason for the secondary judgment is that the data of the device changes greatly at the moment of startup or shutdown, and there is a situation where it exceeds the working threshold range. However, this situation is instantaneous and will not cause equipment failure. The secondary judgment will eliminate this situation.

[0093] Adjust the time interval for obtaining working data of public electrical facilities in abnormal conditions to 10%-20% of the time interval in a fault-free state. After adjustment, the data is usually collected once every 2 seconds. Collect working data of K possible faulty devices, and compare to obtain the maximum value of the K working data. ;

[0094] The maximum value in the working data is the maximum value of the same item of the working data, and no comparison is made between different items. For example, when the maximum temperature is selected from K times of temperature data, the temperature data is not compared with the voltage data.

[0095] Generally, K is set to 3.

[0096] The maximum value among the K working data Working threshold interval with public electrical facilities Compare, when the maximum value among K working data When the working threshold value is exceeded, the public electrical facility is determined to be faulty;

[0097] When the maximum value among K working data When it is within the working threshold range, the data collection cycle returns to normal and it is determined that there is no fault in the current public electrical facilities.

[0098] This judgment method takes a relatively short time and can eliminate some false alarms, and has good overall applicability.

[0099] When a public electrical facility fails, a fault warning is issued, and data of the faulty public electrical facilities is collected, and the safety risk level of the public electrical facilities is calculated based on the statistical data;

[0100] Fault warnings are internal warnings used to alert supervisors and avoid panic.

[0101] The steps to collect data on faulty public electrical facilities and calculate the safety risk level of public electrical facilities based on the statistical data are as follows:

[0102] The safety risk level of public electrical facilities is the fault level of the faulty public electrical facilities when a single device fails, and is the comprehensive fault level when multiple devices fail.

[0103] Collect data on faulty public electrical facilities and analyze the number of faulty public electrical facilities;

[0104] When the number of faulty public electrical facilities is a group, the fault levels of the faulty public electrical facilities are directly calculated;

[0105] The fault level is calculated as follows:

[0106] ;

[0107] Where Gzdj is the fault level, jcsj is the fault working data with the largest abnormality of the detected faulty public electrical facilities, and Ssxs is the level coefficient corresponding to the public electrical facilities;

[0108] For example, the temperature data of the lighting lamp is abnormal, and its working threshold interval is [50, 60]. The detected jcsj is 65°C, and Ssxs is 1.2.

[0109] Calculated .

[0110] The change range of one of the work data.

[0111] Because at the beginning of a fault, usually one or two data are abnormal, rather than all data being abnormal, the magnitude of the data changes is different. Therefore, it is necessary to calculate the fault level using a set of data with the largest magnitude of change.

[0112] After Ssxs conversion, all devices form a unified threshold standard.

[0113] Different public electrical facilities have different Ssxs values. Ssxs includes the importance of equipment. For example, the importance of elevators is greater than that of lighting lamps, so the Ssxs of elevators is greater than that of lighting lamps.

[0114] The above situation is a normal situation. It is a single equipment failure that usually occurs occasionally and is a routine failure.

[0115] When there are multiple groups of faulty public electrical facilities, calculate the fault level of a single faulty public electrical facility;

[0116] Analyze the correlation coefficients between newly added faulty public electrical facilities of different categories;

[0117] The formula for calculating the comprehensive fault level based on the correlation coefficient between the newly added faulty public electrical facilities and the fault level of the faulty public electrical facilities is as follows:

[0118] ;

[0119] Where Zhdj is the comprehensive fault level, is the maximum correlation coefficient between the lth type of faulty public electrical facilities and other types of faulty public electrical facilities. For example, there are three types of equipment failures, and there is a correlation coefficient between one type of equipment and the other two types of equipment. At this time, the maximum value of the two correlation coefficients is taken, and a total of three data are obtained. At this time, the lowest set of correlation coefficients is removed, and the remaining two sets of correlation coefficients are superimposed and divided by 2. Xzxs is the constant correction coefficient, L is the number of newly added faulty public electrical facilities, and m is the number of faulty equipment. is the fault level of the i-th group of faulty public electrical facilities.

[0120] The steps to analyze the correlation between newly added faulty public electrical facilities of different categories are as follows:

[0121] Get the categories of newly added faulty public electrical facilities;

[0122] Retrieving and extracting pre-calculated correlation coefficients between public electrical utilities;

[0123] The formula for calculating the correlation coefficient based on the historical fault data of public electrical facilities is as follows:

[0124] ;

[0125] In the formula, , D is the number of historical fault data, Glxs is the correlation coefficient between two categories of public electrical facilities, x d is the historical fault data of group d of public electrical facilities, y d This is the dth group of historical fault data of another public electrical facility.

[0126] Because it is fault data, and exists across categories, there is no need to consider negative correlation.

[0127] Adjust fault warnings according to the safety risk level of public electrical facilities, and obtain corresponding fault control strategies from the database according to the safety risk level of public electrical facilities;

[0128] The steps to obtain the corresponding fault control strategy from the database according to the safety risk level of public electrical facilities are as follows:

[0129] Compare the safety risk level of public electrical facilities with the thresholds recorded in the database to determine the degree of fault danger;

[0130] Obtain fault control strategies based on the degree of danger;

[0131] When the number of faulty public electrical facilities is a group, if the fault level Gzdj is less than or equal to the preset value P1, the fault danger level is normal; if the fault level Gzdj is greater than or equal to the preset value P1, the fault danger level is severe;

[0132] When there are multiple groups of faulty public electrical facilities, if the comprehensive fault level Zhdj is less than or equal to the preset value P2, P1≤P2, the fault risk level is normal; if the comprehensive fault level Zhdj is greater than or equal to the preset value P2, the fault risk level is severe;

[0133] When the fault risk level is normal, the fault control strategy is to mark the faulty public electrical facility data, and the time interval for obtaining the faulty public electrical facility data is adjusted to 5%-10% of the time interval in the fault-free state;

[0134] This is a minor equipment anomaly that does not affect the operation of the equipment and can be maintained later, but it requires supervision to avoid accidents.

[0135] When the fault risk level is serious, the fault control strategy obtained is to cut off the power supply of the faulty public electrical facilities.

[0136] This situation involves serious damage to a single device or a large-scale failure, and the overall risk is high, so it is necessary to cut off the power supply for investigation. After the power supply is cut off, there is no need to collect working data.

[0137] Continuously obtain the working data of the faulty public electrical facilities and the environmental data of the faulty public electrical facilities area, and compare the continuously obtained data with the working threshold range until the fault is resolved;

[0138] The environmental data of the faulty public electrical facility area includes temperature data, special gas content monitoring data and smoke content data.

[0139] Collect environmental data for further judgment to avoid fires caused by equipment failure.

[0140] Comparing the continuously acquired data with the standard working threshold interval includes comparing the acquired public electrical facility working data with the working threshold interval of the public electrical facility in the database, determining whether the public electrical facility is faulty, and calculating the hazard diffusion level based on the environmental data of the faulty public electrical facility area;

[0141] The calculation formula for the dangerous diffusion level Wxks of faulty public electrical facilities is as follows:

[0142] ;

[0143] In the formula, is the u-th environmental data monitored at time t, Hjdj is the environmental abnormality level, is the uth environmental data monitored before the facility failure. is the risk diffusion coefficient corresponding to the change ratio of environmental data, U is the number of monitored environmental data of faulty public electrical equipment, when When setting .

[0144] , the data is normal. The value is 0, which means that the data does not affect the danger spread level of faulty public electrical facilities.

[0145] Moreover, in the early stage of the fire, the temperature rise can be monitored, but there is no flame or smoke data. situation.

[0146] When the danger diffusion level of the faulty public electrical facilities gradually increases to the set danger value Sdz (calculated by historical data, the possibility of causing a fire is more than 70%), or the increase in the danger diffusion level is greater than the set danger change value Bhz (calculated by historical data, the possibility of rapid loss of control is more than 70%), the fire warning is activated. This warning is a collective warning for the building, which can effectively avoid fires;

[0147] The formula for calculating the change range of the dangerous diffusion level is as follows:

[0148] ;

[0149] Where Wxbh is the variation range of the dangerous diffusion level, is the dangerous diffusion level of the faulty public electrical facilities at time t, for The level of dangerous spread of faulty public electrical facilities at any moment.

[0150] For example: The dangerous diffusion level of the faulty public electrical facilities at time t is 5.1, and the dangerous diffusion level of the faulty public electrical facilities at time t-1 is 4.7, then , the normal danger change value Bhz is set to 0.03-0.05, so a fire warning is required at this time.

[0151] When the number of faulty public electrical facilities is a group, the fault is cleared when the working data of the public electrical facilities is within the working threshold range of the public electrical facilities in the database, and the difference ratio between the environmental abnormality level of the faulty public electrical facilities and the environmental abnormality level of the nearest normal state similar equipment is calculated, and the difference ratio is less than the set danger level ratio;

[0152] The formula for calculating the difference ratio between the environmental abnormality level of the faulty public electrical facility and the environmental abnormality level of the nearest normal similar equipment is as follows:

[0153] ;

[0154] Where Czbl is the difference ratio, is the environmental abnormality level of the faulty public electrical facilities, The abnormal level of the environment of the same type of equipment in the most recent normal state;

[0155] The normal failure of the equipment and the area where the equipment is located are different from other areas. Therefore, there is a certain error, that is, the difference ratio Czbl. The normal danger level ratio is 0.03, and its general value is 0.02-0.05.

[0156] When there are multiple groups of faulty public electrical facilities, the fault is cleared when the difference ratio between the environmental abnormality level of the faulty public electrical facilities and the environmental abnormality level of the nearest normal area is smaller than the set danger level ratio, and the fault state is manually verified to be fault-free. Due to large-scale faults, hidden dangers are prone to occur, so they must be manually checked one by one.

[0157] Obtain fault data and corresponding fault control strategies, and summarize and store the fault data and corresponding fault control strategies in the database to facilitate subsequent review by relevant technical personnel.

[0158] This embodiment also includes a high-rise building public electrical facility safety risk identification device, including one or more processors and a memory for storing one or more computer programs;

[0159] When one or more programs are executed by one or more processors, the one or more processors are caused to execute the steps of the method for identifying safety risks of public electrical facilities in high-rise buildings.

[0160] This embodiment also includes a computer-readable storage medium on which executable instructions are stored. When the instructions are executed by a processor, the processor executes the steps of the method for identifying safety risks of public electrical facilities in high-rise buildings.

[0161] The above formula is a formula obtained by collecting a large amount of data and performing software simulation to obtain the most recent real situation. The preset parameters in the formula are set by technicians in this field according to actual conditions.

Claims

1. A method for identifying safety risks of public electrical facilities in high-rise buildings, characterized in that: The following steps are involved: Acquire the working data of public electrical facilities from the building electrical system in real time, and compare the acquired working data of public electrical facilities with the working threshold interval of public electrical facilities in the database to determine whether the public electrical facilities are faulty, wherein the working data of public electrical facilities include current data, voltage data, temperature data and noise data when the public electrical facilities are working; When a public electrical facility fails, a fault warning is issued, and data of the faulty public electrical facilities is collected, and the safety risk level of the public electrical facilities is calculated based on the statistical data; The steps of comparing the acquired working data of public electrical facilities with the working threshold interval of public electrical facilities in the database and determining whether the public electrical facilities are faulty are as follows: The obtained N groups of public electrical facilities working data Gzsj are compared with the corresponding N groups of public electrical facilities working threshold intervals When one or more data in the N groups of data exceed the working threshold range, it is determined that the corresponding public electrical facilities may be faulty and marked as public electrical facilities in abnormal state, and a secondary judgment is made on the public electrical facilities in abnormal state; Adjust the time interval for obtaining working data of public electrical facilities in abnormal conditions to 10%-20% of the time interval in the fault-free state, collect working data of K possible faulty devices, and compare and obtain the maximum value among the K working data. ; The maximum value among the K working data Working threshold interval with public electrical facilities Compare, when the maximum value among K working data When the working threshold value is exceeded, the public electrical facility is determined to be faulty; When the maximum value among K working data When it is in the working threshold range, the data collection cycle returns to normal, and it is determined that there is no fault in the current public electrical facilities; The steps to collect data on faulty public electrical facilities and calculate the safety risk level of public electrical facilities based on the statistical data are as follows: Collect data on faulty public electrical facilities and analyze the number of faulty public electrical facilities; When the number of faulty public electrical facilities is a group, the fault levels of the faulty public electrical facilities are directly calculated; The calculation formula of fault level is as follows: ； Where Gzdj is the fault level, jcsj is the fault working data with the largest abnormality of the detected faulty public electrical facilities, and Ssxs is the level coefficient corresponding to the public electrical facilities; When there are multiple groups of faulty public electrical facilities, calculate the fault level of a single faulty public electrical facility; Analyze the correlation coefficients between newly added faulty public electrical facilities of different categories; The formula for calculating the comprehensive fault level based on the correlation coefficient between the newly added faulty public electrical facilities and the fault level of the faulty public electrical facilities is as follows: ； Where Zhdj is the comprehensive fault level, is the maximum correlation coefficient between the lth type of faulty public electrical facilities and other types of faulty public electrical facilities, L is the number of newly added types of faulty public electrical facilities, Xzxs is the constant correction coefficient, m is the number of faulty equipment, is the fault level of the i-th group of faulty public electrical facilities; The steps to analyze the correlation between newly added faulty public electrical facilities of different categories are as follows: Get the categories of newly added faulty public electrical facilities; Retrieving and extracting pre-calculated correlation coefficients between public electrical utilities; The formula for calculating the correlation coefficient based on the historical fault data of public electrical facilities is as follows: ； In the formula, , D is the number of historical fault data, Glxs is the correlation coefficient between two categories of public electrical facilities, x d is the historical fault data of group d of public electrical facilities, y d This is the dth group of historical fault data of another public electrical facility.

2. The method for identifying safety risks of public electrical facilities in high-rise buildings according to claim 1 is characterized in that: It also includes adjusting fault warning according to the safety risk level of public electrical facilities, and obtaining corresponding fault control strategies from the database according to the safety risk level of public electrical facilities. The specific steps are as follows: Compare the safety risk level of public electrical facilities with the thresholds recorded in the database to determine the degree of fault danger; Obtain fault control strategies based on the degree of danger; When the number of faulty public electrical facilities is a group, if the fault level Gzdj is less than or equal to the preset value P1, the fault danger level is normal; if the fault level Gzdj is greater than or equal to the preset value P1, the fault danger level is severe; When there are multiple groups of faulty public electrical facilities, if the comprehensive fault level Zhdj is less than or equal to the preset value P2, the fault risk level is normal; if the comprehensive fault level Zhdj is greater than or equal to the preset value P2, the fault risk level is severe; When the fault risk level is normal, the fault control strategy is to mark the faulty public electrical facility data, and the time interval for obtaining the faulty public electrical facility data is adjusted to 5%-10% of the time interval in the fault-free state; When the fault risk level is serious, the fault control strategy obtained is to cut off the power supply of the faulty public electrical facilities.

3. The method for identifying safety risks of public electrical facilities in high-rise buildings according to claim 2 is characterized in that: It also includes continuously acquiring the working data of the faulty public electrical facilities and the environmental data of the faulty public electrical facilities area, and comparing the continuously acquired data with the working threshold range until the fault is resolved. The environmental data of the faulty public electrical facilities area includes temperature data, special gas content monitoring data and smoke content data.

4. The method for identifying safety risks of public electrical facilities in high-rise buildings according to claim 3 is characterized by: Comparing the continuously acquired data with the standard working threshold interval includes comparing the acquired public electrical facility working data with the working threshold interval of the public electrical facility in the database, determining whether the public electrical facility is faulty, and calculating the hazard diffusion level based on the environmental data of the faulty public electrical facility area; The calculation formula for the dangerous diffusion level Wxks of faulty public electrical facilities is as follows: ； In the formula, is the u-th environmental data monitored at time t, Hjdj is the environmental abnormality level, is the uth environmental data monitored before the facility failure. is the risk diffusion coefficient corresponding to the change ratio of environmental data, U is the number of monitored environmental data of faulty public electrical equipment, when When setting ; When the danger diffusion level of the faulty public electrical facilities gradually increases to the set danger value Sdz or the increase in the danger diffusion level is greater than the set danger change value Bhz, the fire warning is activated; The formula for calculating the change range of the dangerous diffusion level is as follows: ； Where Wxbh is the variation range of the dangerous diffusion level, is the dangerous diffusion level of the faulty public electrical facilities at time t, for The danger spread level of faulty public electrical facilities at the moment; When the number of faulty public electrical facilities is a group, the fault is cleared when the working data of the public electrical facilities is within the working threshold range of the public electrical facilities in the database, and the difference ratio between the environmental abnormality level of the faulty public electrical facilities and the environmental abnormality level of the nearest normal state similar equipment is calculated, and the difference ratio is less than the set danger level ratio; The formula for calculating the difference ratio between the environmental abnormality level of the faulty public electrical facility and the environmental abnormality level of the nearest normal similar equipment is as follows: ； Where Czbl is the difference ratio, is the environmental abnormality level of the faulty public electrical facilities, The abnormal level of the environment of the same type of equipment in the most recent normal state; When there are multiple groups of faulty public electrical facilities, the fault clearance is to obtain the difference ratio between the environmental abnormality level of the faulty public electrical facilities and the environmental abnormality level of the nearest normal area, and the difference ratio is less than the set danger level ratio, and there is no fault status after manual verification.

5. The method for identifying safety risks of public electrical facilities in high-rise buildings according to claim 4 is characterized in that: It also includes acquiring fault data and corresponding fault control strategies, and aggregating and storing the fault data and corresponding fault control strategies in a database.

6. A safety risk identification device for public electrical facilities in high-rise buildings, characterized in that: include: one or more processors; a memory for storing one or more computer programs; When one or more programs are executed by one or more processors, the one or more processors execute the method described in any one of claims 1 to 5.

7. A computer-readable storage medium having executable instructions stored thereon, characterized in that: When the instructions are executed by a processor, the processor executes the method according to any one of claims 1 to 5.

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