Intelligent management system for civil air defense command engineering internal equipment

Abstract

The invention relates to the technical field of intelligent management and control, and discloses an intelligent management system for civil air defense command engineering internal equipment, which is characterized in that a monitoring period is preset, a data acquisition module is used for acquiring data in real time in the monitoring period, and real-time equipment power efficiency is calculated according to the acquired data; the efficiency analysis module is used for processing the real-time equipment power efficiency corresponding to each time node to construct an equipment power efficiency curve, and processing an equipment power efficiency threshold line of the equipment power efficiency curve to complete identification of an equipment power efficiency state signal; and the non-standard analysis module is used for processing the non-standard equipment corresponding to the equipment efficiency abnormal signal, obtaining an operation state value of the non-standard equipment by processing operation state data of the non-standard equipment in the monitoring period, and completing visual management of the operation state of the non-standard equipment based on the operation state value of the non-standard equipment.

Description

Technical Field

[0001] The present invention relates to the field of intelligent management and control technology, and in particular to an intelligent management system for internal equipment of a civil air defense command project. Background Art

[0002] The underground space includes many projects, such as civil air defense command post projects, civil air defense emergency material storage projects, civil air defense emergency concealed place projects, and civil air defense tunnel traffic concealed projects. Many projects require timely and effective identification of the status of internal equipment during the standby process.

[0003] For example, patent publication number CN108183945A discloses an intelligent management system for civil air defense equipment based on the Internet of Things technology. The system consists of a civil air defense Internet of Things intelligent integration device, a safety protection device, and a system management platform software arranged at the management center. The on-site Internet of Things intelligent integration device issues instructions and is responsible for collecting on-site equipment signals, and then sends them to the safety protection device. The safety protection device sends all equipment signals and parameters to the system management platform software of the management center for display. Through the application and innovation of Internet of Things technology, industrial safety technology, and cloud platform technology in special civil-military integrated civil air defense projects in underground spaces, the wartime support capability and emergency response capability can be effectively improved.

[0004] However, the existing technology lacks multi-dimensional identification of the status of the electrical equipment inside the civil air defense command project, and cannot timely and effectively process the equipment from dimensions such as static power efficiency and dynamic operating sound, which has certain limitations. Summary of the invention

[0005] The purpose of the present invention is to provide an intelligent management system for internal equipment of civil air defense command engineering to solve the technical problems in the above background.

[0006] The purpose of the present invention can be achieved through the following technical solutions: An intelligent management system for internal equipment of a civil air defense command project, comprising: Data acquisition module: a preset monitoring period, the data acquisition module is used to collect data in real time during the monitoring period, and calculate the real-time equipment power efficiency based on the collected data; Among them, the collected data includes active current and reactive current; Efficiency analysis module: The efficiency analysis module is used to process the real-time equipment power efficiency corresponding to each time node to construct an equipment power efficiency curve, and process the equipment power efficiency threshold line of the equipment power efficiency curve to complete the identification of the equipment power efficiency status signal; Among them, the equipment power efficiency status signal recognition includes equipment efficiency normal signal and equipment efficiency abnormal signal; Non-standard analysis module: The non-standard analysis module is used to process the non-standard equipment corresponding to the abnormal equipment efficiency signal, and obtain the operating status value of the non-standard equipment by processing the operating status data of the non-standard equipment within the monitoring period; Complete visual management of the operating status of non-standard equipment based on the operating status value of non-standard equipment.

[0007] As a further solution of the present invention: the process of obtaining the real-time equipment power efficiency is: The active current is marked as IW; The reactive current is marked as IR; That is, through the formula: Get the real-time equipment power efficiency P, where and is the preset scale factor.

[0008] As a further solution of the present invention: construct an XY two-dimensional coordinate system, and plot the real-time device power efficiency corresponding to each time node in the XY two-dimensional coordinate system; Connect all plotted points from left to right in chronological order with a smooth curve to obtain the equipment power efficiency curve; In the XY two-dimensional coordinate system, the area where the equipment power efficiency curve is lower than the equipment power efficiency threshold line is marked as a shaded area; Compare and analyze the shadow area S with the shadow area threshold; If the shadow area S is less than the shadow area threshold, the power efficiency of the device is determined to be normal, and a normal device efficiency signal is generated; If the shadow area S>the shadow area threshold, the equipment power efficiency is determined to be abnormal, and an equipment efficiency abnormality signal is generated.

[0009] As a further solution of the present invention: the operation status data of the non-standard equipment within the monitoring period includes the non-standard efficiency deviation ratio of the non-standard equipment, the sound abnormality value of the non-standard equipment, and the non-standard interval number-time ratio of the non-standard equipment; The non-standard efficiency ratio of non-standard equipment is recorded as Fxp; Compare the non-standard interval time of non-standard equipment to Fst; The sound variation value of non-standard equipment is recorded as Fsy; By formula The operating status value FSi of the non-standard equipment is calculated, where a1, a2, and a3 are preset proportional coefficients, and a1, a2, and a3 are all greater than zero, and Si is the area ratio of the shadow area of ​​the non-standard equipment.

[0010] As a further solution of the present invention: the proportion of the shadow area of ​​the non-standard equipment is the ratio of the shadow area of ​​the non-standard equipment to the shadow area threshold.

[0011] As a further solution of the present invention: the process of obtaining the non-standard efficiency ratio of non-standard equipment is: Compare the real-time equipment power efficiency of the non-standard equipment at each time node with the equipment power efficiency threshold; If the real-time device power efficiency is greater than or equal to the device power efficiency threshold, the time node is recorded as the standard time node; If the real-time device power efficiency is less than the device power efficiency threshold, the time node is recorded as a non-standard time node; The real-time equipment power efficiency corresponding to all non-standard time nodes is summed and averaged to obtain the non-standard power efficiency value; The real-time equipment power efficiency corresponding to all standard time nodes is summed and averaged to obtain the standard power efficiency value; The difference between the non-standard power efficiency value and the standard power efficiency value is calculated and the absolute value is taken to obtain the non-standard efficiency deviation; The non-standard efficiency deviation is calculated by ratioing the standard power efficiency value to obtain the non-standard efficiency deviation ratio of the non-standard equipment.

[0012] As a further solution of the present invention: the process of obtaining the non-standard interval time ratio of the non-standard equipment is: During the monitoring period, the interval between adjacent non-standard time nodes of non-standard equipment is obtained and recorded as the non-standard interval period; Obtain the number of non-standard intervals, calculate the ratio of the number of non-standard intervals to the number of time nodes in the monitoring period, and obtain the non-standard interval ratio; The duration of all non-standard intervals is summed up to obtain the non-standard total duration, and the ratio of the non-standard total duration to the total duration of the monitoring period is calculated to obtain the non-standard interval time ratio; The non-standard interval number ratio and the non-standard interval time ratio are processed to obtain the non-standard interval number time ratio of the non-standard equipment.

[0013] As a further solution of the present invention: the process of obtaining the sound change value of the non-standard equipment is: The time lengths of adjacent time nodes of non-standard equipment are recorded as time sub-units, and the maximum sound decibel value of the non-standard equipment during operation in each time sub-unit is obtained, that is, the maximum sound decibel values ​​of several non-standard equipment during operation are obtained, and the maximum sound decibel values ​​of several non-standard equipment during operation are integrated to obtain a non-standard equipment sound decibel value group; Multiply the variance of the non-standard equipment sound decibel value group by the amplitude of the non-standard equipment sound decibel value group to obtain the variance rate of the non-standard equipment sound decibel value group; The maximum sound decibel value in the time sub-unit corresponding to the non-standard equipment is multiplied by the deviation rate to obtain the sound deviation value of the non-standard equipment.

[0014] As a further solution of the present invention: Multiply the maximum sound decibel value in the time sub-unit corresponding to the non-standard device by the difference rate to obtain the sound anomaly value of the non-standard device.

[0015] As a further solution of the present invention: Preset the limit values of the operating state value of the non-standard device as FSi1 and FSi2, where FSi1 < FSi2; When FSi < FSi1, it indicates that the overall state of the non-standard device during use is good, and a good signal during the use of the non-standard device is generated; When FSi1 ≤ FSi < FSi2, it indicates that the overall state of the non-standard device during use is average, and an average signal during the use of the non-standard device is generated; When FSi ≥ FSi2, it indicates that the overall state of the non-standard device during use is poor, and a poor signal during the use of the non-standard device is generated.

[0016] The beneficial effects of the present invention: In the monitoring period of the present invention, several time nodes are set, the active current and reactive current corresponding to each electrical device at the time nodes are collected in real time, and the real-time device power efficiency is obtained according to the processed data obtained from the collection. According to the real-time device power efficiency, a device power efficiency curve is constructed, and the device power efficiency curve and the device power efficiency threshold line are processed to complete the identification of the power consumption efficiency of the electrical device; Based on the power consumption efficiency of the electrical device, the devices corresponding to all device efficiency anomaly signals inside the civil air defense command project are recorded as non-standard devices, and the operating state data of the non-standard devices during the monitoring period are obtained (the non-standard efficiency deviation ratio of the non-standard device, the sound anomaly value of the non-standard device, the non-standard interval number ratio of the non-standard device). According to the processing of the operating state data of the non-standard device, the operating state value of the non-standard device is obtained, and based on the operating state value of the non-standard device, the operating state of the non-standard device during the monitoring period is identified, so as to realize the visual management of the state of the non-standard device during use by the staff, and the intelligent control of the equipment maintenance inside the civil air defense command project by the staff. Description of the Drawings

[0017] The present invention will be further described below with reference to the drawings.

[0018] Figure 1 It is the working flow chart of an intelligent management system for the equipment inside the civil air defense command project according to an embodiment of the present invention; Figure 2 It is the program block diagram of an intelligent management system for the equipment inside the civil air defense command project according to an embodiment of the present invention; Figure 3 It is the non-standard device state identification flow chart of an intelligent management system for the equipment inside the civil air defense command project according to an embodiment of the present invention. Detailed Embodiments

[0019] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not 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. Example 1

[0020] See also Figure 1-Figure 2 As shown, an intelligent management system for internal equipment of a civil air defense command project according to an embodiment of the present invention includes: Preset monitoring cycle, collect data in real time during the monitoring cycle, and calculate real-time equipment power efficiency based on the collected data; Among them, the collected data includes active current and reactive current: Among them, the active current and reactive current of the electrical equipment are collected through current transformers; It should be noted that within the monitoring period, several time nodes are obtained by dividing the time into the same length, and data is collected at each time node to obtain the active current and reactive current corresponding to each time node; Exemplary: the active current is marked as IW, the reactive current is marked as IR, and the active current IW and the reactive current IR are processed by the formula: Get the real-time equipment power efficiency P, where and are preset scaling factors, and are all greater than 0.

[0021] According to the real-time device power efficiency, draw a device power efficiency curve, and mark the area below the device power efficiency threshold line as a shaded area; Construct an XY two-dimensional coordinate system, and construct the equipment power efficiency curve based on the real-time equipment power efficiency corresponding to each time node in the monitoring period; Exemplarily, in an XY two-dimensional coordinate system, X represents time, and Y represents real-time device power efficiency. The real-time device power efficiency corresponding to each time node is plotted in the XY two-dimensional coordinate system, and then all the plotted points are connected from left to right in chronological order with a smooth curve to obtain a device power efficiency curve; Wherein, in the XY two-dimensional coordinate system, a device power efficiency threshold line parallel to the X axis is drawn with the device power efficiency threshold, and the area where the device power efficiency curve is lower than the device power efficiency threshold line is recorded as a shaded area; It should be noted that the shaded area indicates the extent to which the real-time device power efficiency is lower than the device power efficiency during the monitoring period.

[0022] Analyze the area of ​​the shadow region to determine whether the real-time equipment power efficiency is abnormal; Specifically: calculate the area of ​​the shaded area in the equipment power efficiency diagram, mark the area of ​​the shaded area as S, and preset a threshold value for the area of ​​the shaded area; Compare and analyze the shadow area S with the shadow area threshold; If the area of ​​the shadow region S ≤ the area threshold of the shadow region, it means that within a certain period of time, the degree to which the real-time device power efficiency is lower than the device power efficiency threshold is small, that is, the device power efficiency is determined to be normal, and a normal device efficiency signal is generated; If the area S of the shadow area is greater than the threshold area of ​​the shadow area, it means that within a certain period of time, the real-time device power efficiency is lower than the device power efficiency threshold to a large extent, or the real-time device power efficiency is lower than the rated power line loss interval for too long, that is, the device power efficiency is judged to be abnormal, and an abnormal device efficiency signal is generated.

[0023] The equipment corresponding to the abnormal equipment efficiency signal is marked as non-standard equipment; During the monitoring period, the real-time equipment power efficiency of the non-standard equipment at each time node is compared with the equipment power efficiency threshold; If the real-time device power efficiency is greater than or equal to the device power efficiency threshold, the time node is recorded as the standard time node; If the real-time device power efficiency is less than the device power efficiency threshold, the time node is recorded as a non-standard time node; The real-time equipment power efficiency corresponding to all non-standard time nodes is summed and averaged to obtain the non-standard power efficiency value; The real-time equipment power efficiency corresponding to all standard time nodes is summed and averaged to obtain the standard power efficiency value; The difference between the non-standard power efficiency value and the standard power efficiency value is calculated and the absolute value is taken to obtain the non-standard efficiency deviation; The non-standard efficiency deviation is calculated by ratioing the standard power efficiency value to obtain the non-standard efficiency deviation ratio of the non-standard equipment.

[0024] During the monitoring period, the interval between adjacent non-standard time nodes of non-standard equipment is obtained and recorded as the non-standard interval period; Obtain the number of non-standard intervals, calculate the ratio of the number of non-standard intervals to the number of time nodes in the monitoring period, and obtain the non-standard interval ratio; The duration of all non-standard intervals is summed up to obtain the non-standard total duration, and the ratio of the non-standard total duration to the total duration of the monitoring period is calculated to obtain the non-standard interval time ratio; The ratio of the number of non-standard intervals is recorded as Fs; The non-standard interval time ratio is recorded as Ft; By formula Calculate the non-standard interval time ratio Fst of the non-standard equipment, where k is the preset proportional coefficient; The process of obtaining the preset proportional coefficient is as follows: There are m groups of historical data, each group of historical data includes non-standard interval number ratio Fs, non-standard interval time ratio Ft and non-standard interval number time ratio Fst of non-standard equipment; A linear model is used to fit m groups of historical data, and the prepared historical data is brought into the selected fitting model for fitting, and the mean of the fitting coefficients is obtained as the preset proportional coefficient.

[0025] During the monitoring period, the time lengths of adjacent time nodes of non-standard equipment are recorded as time sub-units, and the maximum sound decibel value of the non-standard equipment during operation in each time sub-unit is obtained, that is, the maximum sound decibel values ​​of several non-standard equipment during operation are obtained, and the maximum sound decibel values ​​of several non-standard equipment during operation are integrated to obtain a non-standard equipment sound decibel value group; The variance of the sound decibel value group of non-standard equipment is calculated according to the variance calculation formula; Perform difference processing on the maximum sound decibel value and the minimum sound decibel value in the sound decibel value group of the non-standard equipment, and compare the obtained difference with the minimum sound decibel value to obtain the amplitude of the sound decibel value group of the non-standard equipment; Multiply the variance of the non-standard equipment sound decibel value group by the amplitude of the non-standard equipment sound decibel value group to obtain the variance rate of the non-standard equipment sound decibel value group; The maximum sound decibel value in the time subunit corresponding to the current time of the non-standard device is multiplied by the deviation rate to obtain the sound deviation value of the non-standard device.

[0026] The non-standard efficiency ratio of non-standard equipment is recorded as Fxp; The sound variation value of non-standard equipment is recorded as Fsy; By formula The operating status value FSi of the non-standard equipment is calculated, where a1, a2, and a3 are preset proportional coefficients, and a1, a2, and a3 are all greater than zero, and Si is the area ratio of the shadow area of ​​the non-standard equipment; Among them, the proportion of the shadow area of ​​non-standard equipment is the ratio of the shadow area of ​​non-standard equipment to the shadow area threshold. Example 2

[0027] See also Figure 3 , based on Example 1, the limit values ​​of the operating status values ​​of the non-standard equipment are preset as FSi1 and FSi2, wherein FSi1<FSi2; Among them, the limit values ​​FSi1 and FSi2 of the operating status values ​​of non-standard equipment are empirical values, which are obtained based on experience: In the actual obtaining process, there are many groups of non-standard efficiency deviation ratios of non-standard equipment, sound abnormal values of non-standard equipment, non-standard interval time ratios of non-standard equipment, and the proportion of the area of the shadow region of non-standard equipment. Process the non-standard efficiency deviation ratios of many groups of non-standard equipment, the sound abnormal values of non-standard equipment, the non-standard interval time ratios of non-standard equipment, and the proportion of the area of the shadow region of non-standard equipment to obtain the operating state values of the corresponding groups of non-standard equipment. The staff identify the abnormal state levels of non-standard equipment based on the operating state values of so many groups of non-standard equipment, thereby obtaining a correspondence between the operating state values of non-standard equipment and the abnormal state levels of non-standard equipment. Furthermore, deduce and divide the threshold values of the operating state values of non-standard equipment according to the abnormal states of non-standard equipment corresponding to the operating state values of non-standard equipment, so as to obtain the limit values FSi1 and FSi2 of the threshold values of the operating state values of non-standard equipment. By comparing the limit values of the threshold values of the operating state values of non-standard equipment, the identification of the abnormal state levels of non-standard equipment corresponding to the operating state values of non-standard equipment is completed; When FSi < FSi1, it indicates that the overall state of the non-standard equipment during use is good, and a good signal during the use of the non-standard equipment is generated; When FSi1 ≤ FSi < FSi2, it indicates that the overall state of the non-standard equipment during use is average, and an average signal during the use of the non-standard equipment is generated; When FSi ≥ FSi2, it indicates that the overall state of the non-standard equipment during use is poor, and a poor signal during the use of the non-standard equipment is generated; Thus, it is convenient for the staff to conduct visual management of the state of the non-standard equipment during use, and convenient for the staff to conduct intelligent control over the maintenance of the equipment inside the civil air defense command project.

[0028] The working principle of the present invention: Set several time nodes within the monitoring period, collect the active current and reactive current corresponding to each electrical equipment at the time nodes in real time, and process the collected data to obtain the real-time equipment power efficiency. According to the real-time equipment power efficiency, construct an equipment power efficiency curve, and process the equipment power efficiency curve and the equipment power efficiency threshold line to complete the identification of the power consumption efficiency of the electrical equipment; Based on the power consumption efficiency of the electrical equipment, mark the equipment corresponding to all equipment efficiency abnormal signals inside the civil air defense command project as non-standard equipment, obtain the operating state data of the non-standard equipment within the monitoring period (the non-standard efficiency deviation ratio of the non-standard equipment, the sound abnormal value of the non-standard equipment, the non-standard interval time ratio of the non-standard equipment), and process the operating state data of the non-standard equipment to obtain the operating state value of the non-standard equipment. Based on the operating state value of the non-standard equipment, complete the identification of the operating state of the non-standard equipment within the monitoring period, thereby realizing the visual management of the state of the non-standard equipment during use by the staff, and the intelligent control of the equipment maintenance inside the civil air defense command project by the staff.

[0029] The above is a detailed description of an embodiment of the present invention, but the content is only a preferred embodiment of the present invention and cannot be considered to limit the scope of implementation of the present invention. All equivalent changes and improvements made within the scope of the present invention should still fall within the scope of the patent coverage of the present invention.

Claims

1. An intelligent management system for internal equipment of civil air defense command engineering, characterized in that: include: Data acquisition module: a preset monitoring period, the data acquisition module is used to collect data in real time during the monitoring period, and calculate the real-time equipment power efficiency based on the collected data; Among them, the collected data includes active current and reactive current; Efficiency analysis module: The efficiency analysis module is used to process the real-time equipment power efficiency corresponding to each time node to construct an equipment power efficiency curve, and process the equipment power efficiency threshold line of the equipment power efficiency curve to complete the identification of the equipment power efficiency status signal; Among them, the equipment power efficiency status signal recognition includes equipment efficiency normal signal and equipment efficiency abnormal signal; Non-standard analysis module: The non-standard analysis module is used to process the non-standard equipment corresponding to the abnormal equipment efficiency signal, and obtain the operating status value of the non-standard equipment by processing the operating status data of the non-standard equipment within the monitoring period; Complete visual management of the operating status of non-standard equipment based on the operating status value of non-standard equipment.

2. According to claim 1, the intelligent management system for internal equipment of civil air defense command engineering is characterized in that: The process of obtaining real-time equipment power efficiency is as follows: The active current is marked as IW; The reactive current is marked as IR; That is, through the formula: Get the real-time equipment power efficiency P, where and is the preset scale factor.

3. According to claim 1, the intelligent management system for internal equipment of civil air defense command engineering is characterized in that: Construct an XY two-dimensional coordinate system and plot the real-time equipment power efficiency corresponding to each time node in the XY two-dimensional coordinate system; Connect all plotted points from left to right in chronological order with a smooth curve to obtain the equipment power efficiency curve; In the XY two-dimensional coordinate system, the area where the equipment power efficiency curve is lower than the equipment power efficiency threshold line is marked as a shaded area; Compare and analyze the shadow area S with the shadow area threshold; If the shadow area S is less than the shadow area threshold, the power efficiency of the device is determined to be normal, and a normal device efficiency signal is generated; If the shadow area S>the shadow area threshold, the equipment power efficiency is determined to be abnormal, and an equipment efficiency abnormality signal is generated.

4. According to claim 1, the intelligent management system for internal equipment of civil air defense command engineering is characterized in that: The operating status data of non-standard equipment during the monitoring period includes the non-standard efficiency ratio of non-standard equipment, the sound abnormality value of non-standard equipment, and the non-standard interval time ratio of non-standard equipment; The non-standard efficiency ratio of non-standard equipment is recorded as Fxp; Compare the non-standard interval time of non-standard equipment to Fst; The sound variation value of non-standard equipment is recorded as Fsy; By formula The operating status value FSi of the non-standard equipment is calculated, where a1, a2, and a3 are preset proportional coefficients, and a1, a2, and a3 are all greater than zero, and Si is the area ratio of the shadow area of ​​the non-standard equipment.

5. According to claim 4, the intelligent management system for internal equipment of civil air defense command engineering is characterized in that: The proportion of the shadow area of ​​non-standard equipment is the ratio of the shadow area of ​​non-standard equipment to the shadow area threshold.

6. According to claim 4, the intelligent management system for internal equipment of civil air defense command engineering is characterized in that: The process of obtaining the non-standard efficiency ratio of non-standard equipment is as follows: Compare the real-time equipment power efficiency of the non-standard equipment at each time node with the equipment power efficiency threshold; If the real-time device power efficiency is greater than or equal to the device power efficiency threshold, the time node is recorded as the standard time node; If the real-time device power efficiency is less than the device power efficiency threshold, the time node is recorded as a non-standard time node; The real-time equipment power efficiency corresponding to all non-standard time nodes is summed and averaged to obtain the non-standard power efficiency value; The real-time equipment power efficiency corresponding to all standard time nodes is summed and averaged to obtain the standard power efficiency value; The difference between the non-standard power efficiency value and the standard power efficiency value is calculated and the absolute value is taken to obtain the non-standard efficiency deviation; The non-standard efficiency deviation is calculated by ratioing the standard power efficiency value to obtain the non-standard efficiency deviation ratio of the non-standard equipment.

7. According to claim 4, the intelligent management system for internal equipment of civil air defense command engineering is characterized in that: The process of obtaining the non-standard interval number ratio of non-standard equipment is as follows: During the monitoring period, obtain the interval duration between adjacent non-standard time nodes of the non-standard equipment, which is recorded as the non-standard interval period; Obtain the number of non-standard interval periods, and calculate the ratio of the number of non-standard interval periods to the number of time nodes during the monitoring period to obtain the non-standard interval number ratio; Sum up the durations of all non-standard interval periods to obtain the total non-standard duration, and calculate the ratio of the total non-standard duration to the total duration of the monitoring period to obtain the non-standard interval time ratio; Process the non-standard interval number ratio and the non-standard interval time ratio to obtain the non-standard interval number ratio of the non-standard equipment.

8. According to claim 4, the intelligent management system for internal equipment of civil air defense command engineering is characterized in that: The process of obtaining the abnormal sound value of non-standard equipment is as follows: Record the time length between adjacent time nodes of the non-standard equipment as the time sub-unit, and respectively obtain the maximum sound decibel value when the non-standard equipment is running within each time sub-unit, that is, obtain several maximum sound decibel values when the non-standard equipment is running, and integrate several maximum sound decibel values when the non-standard equipment is running to obtain the non-standard equipment sound decibel value group; Multiply the variance of the non-standard equipment sound decibel value group by the amplitude of the non-standard equipment sound decibel value group to obtain the difference rate of the non-standard equipment sound decibel value group; Multiply the maximum sound decibel value within the time sub-unit corresponding to the non-standard equipment by the difference rate to obtain the abnormal sound value of the non-standard equipment.

9. The intelligent management system for internal equipment of civil air defense command engineering according to claim 8 is characterized in that: Multiply the maximum sound decibel value within the time sub-unit corresponding to the non-standard equipment by the difference rate to obtain the abnormal sound value of the non-standard equipment.

10. According to claim 4, the intelligent management system for internal equipment of civil air defense command engineering is characterized in that: Preset the limit values of the operating state value of the non-standard equipment as FSi1 and FSi2, where FSi1 < FSi2; When FSi < FSi1, it means that the overall state of the non-standard equipment during use is good, and generate a good signal when the non-standard equipment is in use; When FSi1 ≤ FSi < FSi2, it means that the overall state of the non-standard equipment during use is average, and generate an average signal when the non-standard equipment is in use; When FSi ≥ FSi2, it means that the overall state of the non-standard equipment during use is poor, and generate a poor signal when the non-standard equipment is in use.

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