Comprehensive state estimation system for power system

Abstract

The invention discloses a comprehensive state estimation system of a power system, and particularly relates to the technical field of state estimation of the power system. The system comprises a load period division module, a power supply emergency state analysis module, a power supply quality analysis module, a power supply stability evaluation module, a power distribution cabinet environment data acquisition module, a power distribution cabinet environment data analysis module, a power supply environment evaluation module, a comprehensive state evaluation module, a terminal display module and a database. According to the method, historical data of the power system are deeply analyzed, the emergency response capability of the power system is analyzed, and technicians can conveniently pay attention to potential risks existing in a redundant system in time. According to the invention, the fluctuation, the frequency and the harmonic wave of the voltage are further analyzed, the quality problem of the power system is concerned, the quality risk of the power system can be found in time, the hidden danger is eliminated, and the safety and the stability of the hospital power system are ensured.

Description

Technical Field

[0001] The present invention relates to the technical field of power system evaluation, and in particular to a power system comprehensive state estimation system. Background Art

[0002] Electricity is an important source of power for industrial production, commercial activities and daily life. Stable and reliable power supply directly affects economic growth and development. The power system provides the necessary energy support for the development of information technology, communications, medical care, transportation and other fields, and promotes the continuous progress of science and technology, especially in the medical industry. The stability of the hospital's power supply system is an important condition to ensure medical safety. Therefore, it is necessary to study the comprehensive state estimation of the hospital's power system.

[0003] The power system assessment technology in the existing technology can meet basic needs, but there are also some potential risks. Specifically, on the one hand, some hospitals lack the necessary redundancy when designing the power system, do not set up emergency power supplies, or lack monitoring of emergency power supplies after setting up emergency power supplies, resulting in difficulty in starting the emergency power supply in time after the main power supply fails, and maintaining the stability of the hospital's power system, resulting in power failures in the hospital and difficulty in ensuring the safety of patients' lives.

[0004] On the other hand, existing technologies are insufficient in their ability to analyze historical data of power systems, which results in the inability to discover potential problems and optimization opportunities behind historical data, and the inability to pre-empt potential power risks and ensure the stability of the power system. At the same time, existing technologies ignore the diversity of equipment within hospitals, and the voltage fluctuations and harmonic generation will affect the normal working state of power equipment, resulting in the inability to ensure the safe operation of power equipment and reducing the judgment of the comprehensive state of the power system. Summary of the invention

[0005] The purpose of the present invention is to provide a comprehensive state estimation system for a power system to solve the problems existing in the background technology.

[0006] The present invention provides a comprehensive state estimation system for a power system, comprising: a load time division module for dividing the peak time period and the normal time period of the power load of each department of the hospital according to the power load of each department at each monitoring time point in the history of the hospital.

[0007] The power supply emergency status analysis module is used to obtain the number of historical power failures in the hospital, the historical emergency power supply switching time, and analyze the hospital power supply emergency response compliance coefficient.

[0008] The power supply quality analysis module is used to obtain the voltage, frequency, and harmonics of each department of the hospital at each monitoring time point and evaluate the compliance coefficient of the hospital's power supply quality.

[0009] The power supply stability assessment module assesses the hospital's power stability index based on the hospital's power supply emergency response compliance coefficient and the hospital's power supply quality compliance coefficient.

[0010] The distribution cabinet environment data collection module is used to collect various data of the main power distribution cabinet environment and the emergency power distribution cabinet environment.

[0011] The distribution cabinet environment data analysis module is used to calculate the main power distribution cabinet environment compliance coefficient and the emergency power distribution cabinet environment compliance coefficient based on the main power distribution cabinet environment data and the emergency power distribution cabinet environment data.

[0012] The power supply environment assessment module calculates the hospital power environment quality index based on the environmental compliance coefficient of the main power distribution cabinet and the environmental compliance coefficient of the emergency power distribution cabinet.

[0013] The comprehensive status evaluation module is used to evaluate the comprehensive status index of the hospital power system based on the hospital power stability index and the hospital power environment quality index.

[0014] The terminal display module is used to display and warn the comprehensive status index of the hospital power system.

[0015] The database is used to store the power load of each department of the hospital at each monitoring time point, extract the historical number of power failures in the hospital, the historical emergency power supply switching time, store standard voltage fluctuation values, standard power consumption frequencies, standard harmonics, store the standard environmental data set of the main power distribution cabinet, store the standard environmental data set of the emergency power distribution cabinet, and store the first-level interval and second-level interval of the comprehensive status index of the hospital's power system.

[0016] Furthermore, the peak time period and the general time period of the power load of each department of the hospital are divided according to the power load of each department of the hospital at each monitoring time point in history. The specific division method is: extract the power load P of each department of the hospital at each monitoring time point from the database ij , where i = 1, 2, ..., m, j = 1, 2, ..., n, i represents the number of each hospital department, m represents the total number of hospital departments, j represents the number of each monitoring time point, and n represents the total number of monitoring time points. The power load of each monitoring time point of the i-th department of the hospital is averaged, and the average result is taken as the average power load of the i-th department of the hospital.

[0017] A two-dimensional coordinate system is established with the monitoring time point as the horizontal axis and the power load of each monitoring time point of the i-th department of the hospital as the vertical axis. The average power load of the i-th department of the hospital is used as the boundary. The monitoring time interval corresponding to the upper image is recorded as the peak time period of the hospital's power load, and the monitoring time interval corresponding to the lower image is recorded as the general time period of the hospital's power load.

[0018] Furthermore, the hospital's historical power failure times and historical emergency power supply switching times are obtained to analyze the hospital's power supply emergency response compliance coefficient. The specific analysis method is: extract the hospital's historical power failure times G and historical emergency power supply switching times T from the database. k , k = 1, 2, ..., G, k represents the number of each power failure, through the formula The hospital power supply emergency response compliance coefficient X is calculated, where e represents the identifier of the exponential function.

[0019] Furthermore, the evaluation of the hospital power supply quality compliance coefficient is specifically analyzed by: obtaining the voltage U of each department at each collection time point during the peak period of the hospital power load through the monitoring sensors on the power equipment of each department of the hospital iq , frequency f iq and Harmonic C iq , where q = 1, 2, ..., Q, q represents the number of each collection time point during the peak period of the hospital's electricity load, and Q represents the total number of collection time points during the peak period of the hospital's electricity load.

[0020] Voltage U at each department at each collection time point during the peak period of hospital power load iq , through the formula: The voltage fluctuation value of each department during the peak period of the hospital's electricity load is calculated and recorded as U' i .

[0021] Voltage fluctuation value U′ of each department during the peak period of hospital power load i , the frequency f of each department at each collection time point during the peak period of hospital power load iq and Harmonic C iq , through the formula: Calculate the quality coefficient y of each department during the peak period of hospital power load i ,in is the standard voltage fluctuation value stored in the database, f′ iq is the standard power frequency stored in the database, C′ iq is the standard harmonic stored in the database, and ln is the identifier of the logarithmic function.

[0022] Similarly, the quality coefficient analysis method of each department in the general time period of the hospital electricity load is consistent with the above, and the quality coefficient z of each department in the general time period of the hospital electricity load is obtained. i .

[0023] The quality coefficient y of each department during the peak period of hospital electricity load i , the quality coefficient of each department of the hospital's electrical load during normal time periods z i , through the formula: The hospital power supply quality compliance coefficient H is calculated.

[0024] Furthermore, the specific analysis method for evaluating the hospital power stability index is as follows: based on the hospital power supply emergency response compliance coefficient X and the hospital power supply quality compliance coefficient H, the hospital power stability index W is calculated through the formula: W=X*α+H*β, where α and β are preset stability weight factors.

[0025] Furthermore, the environmental data of the main power distribution cabinet and the environmental data of the emergency power distribution cabinet are collected, and the specific analysis method is: through the temperature and humidity sensor and dust concentration monitoring sensor integrated in the main power distribution cabinet, the ambient temperature S, ambient humidity D, and ambient dust concentration E of the main power distribution cabinet are obtained.

[0026] Similarly, obtain the environmental data of the emergency power distribution cabinet, including ambient temperature S′, ambient humidity D′, and ambient dust concentration E′.

[0027] The environmental data of the main power distribution cabinet are packaged in the above order to obtain the environmental data set V of the main power distribution cabinet. r , where r = 1, 2, 3, r represents the number of each environmental data.

[0028] Similarly, we get the environmental data set V of the emergency power distribution cabinet r ′.

[0029] In summary, the environmental data set V of the main power distribution cabinet is obtained. r , Environmental Dataset V of Emergency Power Distribution Cabinet r ′.

[0030] Furthermore, the environmental compliance coefficient of the main power distribution cabinet is calculated, and the environmental compliance coefficient of the emergency power distribution cabinet is calculated. The specific analysis method is: based on the environmental data set V of the main power distribution cabinet r , extract the main power distribution cabinet standard environment data set from the database By formula: The environmental compliance coefficient B of the main power distribution cabinet is calculated.

[0031] Similarly, the environmental compliance coefficient B′ of the emergency power distribution cabinet is obtained.

[0032] In summary, the environmental compliance coefficient B of the main power distribution cabinet and the environmental compliance coefficient B′ of the emergency power distribution cabinet are obtained.

[0033] Furthermore, the hospital power environment quality index is calculated by a specific analysis method: based on the environmental compliance coefficient B of the main power distribution cabinet and the environmental compliance coefficient B′ of the emergency power distribution cabinet, the hospital power environment quality index L is calculated by the formula: L=B*λ+B′*μ, wherein λ and μ are preset hospital power environment quality weight factors.

[0034] Furthermore, the evaluation of the comprehensive status index of the hospital power system is specifically analyzed by the following method: based on the hospital power stability index W and the hospital power environment quality index L, the formula is: Q(WL) = e W+L , the comprehensive status index Q(WL) of the hospital power system is calculated.

[0035] When the comprehensive status index Q(WL) of the hospital power system is in the first level interval, it is judged that the comprehensive status of the power system is normal.

[0036] When the comprehensive status index Q(WL) of the hospital power system is in the second level interval, it is judged that the comprehensive status of the power system is abnormal.

[0037] The comprehensive status judgment result of the power system is displayed through the display terminal. When the comprehensive status of the power system is abnormal, the voice broadcast warning mechanism of the display terminal is triggered to remind maintenance technicians to carry out maintenance.

[0038] Compared with the prior art, the embodiments of the present invention have at least the following advantages or beneficial effects: First, the present invention conducts an in-depth analysis of the historical data of the power system, analyzes the emergency response capability of the power system, pays attention to the status of the emergency power supply, and can promptly and conveniently draw the attention of technical personnel to the potential risks of the redundant system.

[0039] Second, the present invention conducts further analysis on the voltage volatility, frequency and harmonics, pays attention to the quality issues of the power system, can timely discover the quality risks in the power system, facilitates technical personnel to respond in time, eliminates hidden dangers, and ensures the safety and stability of the hospital power system. BRIEF DESCRIPTION OF THE DRAWINGS

[0040] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0041] Figure 1 It is a system structure connection diagram of the present invention. DETAILED DESCRIPTION

[0042] 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.

[0043] For ease of understanding, some terms of the present invention are explained below:

[0044] Harmonics refer to frequency components other than the fundamental frequency in the signal waveform, which are usually integer multiples of the fundamental frequency. The presence of harmonics can cause power quality problems, increase equipment losses, cause overheating, affect the normal operation of electrical equipment, and may lead to malfunctions or equipment failures.

[0045] Frequency refers to the number of times a fluctuating signal is repeated per unit time, usually measured in Hertz (Hz). Changes in frequency can affect the stability of the power system and the normal operation of equipment. Too high or too low a frequency can cause equipment failure or reduced efficiency.

[0046] Main power, the main source of electricity for normal operation of the hospital, is usually provided by the power grid. It is responsible for meeting the power needs required for daily operation of the hospital, including lighting, medical equipment, air conditioning, etc.

[0047] Emergency power supply is a backup power supply that is automatically or manually switched when the main power supply fails in the hospital, ensuring that the hospital can still maintain basic power supply in an emergency. Emergency power supply usually consists of diesel generators, battery banks or other independent power generation systems.

[0048] Reference Figure 1 As shown, the present invention provides a comprehensive state estimation system for a power system, including: a load time division module, which is used to divide the peak time period and general time period of the power load of each department of the hospital according to the power load of each department at each monitoring time point in the hospital's history.

[0049] The power supply emergency status analysis module is used to obtain the number of historical power failures in the hospital, the historical emergency power supply switching time, and analyze the hospital power supply emergency response compliance coefficient.

[0050] The power supply quality analysis module is used to obtain the voltage, frequency, and harmonics of each department of the hospital at each monitoring time point and evaluate the compliance coefficient of the hospital's power supply quality.

[0051] The power supply stability assessment module assesses the hospital's power stability index based on the hospital's power supply emergency response compliance coefficient and the hospital's power supply quality compliance coefficient.

[0052] The distribution cabinet environment data collection module is used to collect various data of the main power distribution cabinet environment and the emergency power distribution cabinet environment.

[0053] The distribution cabinet environment data analysis module is used to calculate the main power distribution cabinet environment compliance coefficient and the emergency power distribution cabinet environment compliance coefficient based on the main power distribution cabinet environment data and the emergency power distribution cabinet environment data.

[0054] The power supply environment assessment module calculates the hospital power environment quality index based on the environmental compliance coefficient of the main power distribution cabinet and the environmental compliance coefficient of the emergency power distribution cabinet.

[0055] The comprehensive status evaluation module is used to evaluate the comprehensive status index of the hospital power system based on the hospital power stability index and the hospital power environment quality index.

[0056] The terminal display module is used to display and warn the comprehensive status index of the hospital power system.

[0057] The database is used to store the power load of each department of the hospital at each monitoring time point, extract the historical number of power failures in the hospital, the historical emergency power supply switching time, store standard voltage fluctuation values, standard power consumption frequencies, standard harmonics, store the standard environmental data set of the main power distribution cabinet, store the standard environmental data set of the emergency power distribution cabinet, and store the first-level interval and second-level interval of the comprehensive status index of the hospital's power system.

[0058] It should be noted that in a specific embodiment, the load period division module is connected to the power supply emergency status analysis module, the power supply emergency status module is connected to the power supply quality analysis module, the power supply quality analysis module is connected to the power supply stability assessment module, the distribution cabinet environment data acquisition module is connected to the distribution cabinet environment data analysis module, the distribution cabinet environment data analysis module is connected to the power supply environment assessment module, the comprehensive status assessment module is connected to the power supply stability assessment module and the power supply environment assessment module, the terminal display module is connected to the comprehensive status assessment module, and the database is connected to the load period division module and the distribution cabinet environment data analysis module.

[0059] In a specific embodiment of the present invention, the peak time period and the general time period of the power load of each department of the hospital are divided according to the power load of each department of the hospital at each monitoring time point in history. The specific division method is: extract the power load P of each department of the hospital at each monitoring time point from the database ij , where i = 1, 2, ..., m, j = 1, 2, ..., n, i represents the number of each hospital department, m represents the total number of hospital departments, j represents the number of each monitoring time point, and n represents the total number of monitoring time points. The power load of each monitoring time point of the i-th department of the hospital is averaged, and the average result is taken as the average power load of the i-th department of the hospital.

[0060] A two-dimensional coordinate system is established with the monitoring time point as the horizontal axis and the power load of each monitoring time point of the i-th department of the hospital as the vertical axis. The average power load of the i-th department of the hospital is used as the boundary. The monitoring time interval corresponding to the upper image is recorded as the peak time period of the hospital's power load, and the monitoring time interval corresponding to the lower image is recorded as the general time period of the hospital's power load.

[0061] In a specific embodiment of the present invention, the number of historical power failures in the hospital and the historical emergency power supply switching time are obtained, and the hospital power supply emergency response compliance coefficient is analyzed. The specific analysis method is: extracting the number of historical power failures in the hospital G and the historical emergency power supply switching time T from the database k , k = 1, 2, ..., G, k represents the number of each power failure, through the formula The hospital power supply emergency response compliance coefficient X is calculated, where e represents the identifier of the exponential function.

[0062] The present invention conducts an in-depth analysis of the historical data of the power system, analyzes the emergency response capability of the power system, and pays attention to the status of the emergency power supply, which can facilitate technical personnel to pay attention to the potential risks of the redundant system in a timely manner.

[0063] In a specific embodiment of the present invention, the specific analysis method for evaluating the hospital power supply quality compliance coefficient is as follows: the voltage U of each department at each collection time point during the peak period of the hospital power load is obtained through the monitoring sensors on the power equipment of each department of the hospital. iq , frequency f iq and Harmonic C iq , where q = 1, 2, ..., Q, q represents the number of each collection time point during the peak period of the hospital's electricity load, and Q represents the total number of collection time points during the peak period of the hospital's electricity load.

[0064] Voltage U at each department at each collection time point during the peak period of hospital power load iq , through the formula: The voltage fluctuation value of each department during the peak period of the hospital's electricity load is calculated and recorded as U' i .

[0065] Voltage fluctuation value U′ of each department during the peak period of hospital power load i , the frequency f of each department at each collection time point during the peak period of hospital power load iq and Harmonic C iq , through the formula: Calculate the quality coefficient y of each department during the peak period of hospital power load i ,in is the standard voltage fluctuation value stored in the database, f′iq is the standard power frequency stored in the database, C′ iq is the standard harmonic stored in the database, and ln is the identifier of the logarithmic function.

[0066] Similarly, the quality coefficient analysis method of each department in the general time period of the hospital electricity load is consistent with the above, and the quality coefficient z of each department in the general time period of the hospital electricity load is obtained. i .

[0067] The quality coefficient y of each department during the peak period of hospital electricity load i , the quality coefficient of each department of the hospital's electrical load during normal time periods z i , through the formula: The hospital power supply quality compliance coefficient H is calculated.

[0068] In a specific embodiment of the present invention, the specific analysis method for evaluating the hospital power stability index is: based on the hospital power supply emergency response compliance coefficient X and the hospital power supply quality compliance coefficient H, the hospital power stability index W is calculated by the formula: W=X*α+H*β, where α and β are preset stability weight factors.

[0069] It should be noted that, in a specific embodiment, the stability weight factor is preset by power system technicians according to the design of the local actual line and must satisfy α+β=1, for example, α=0.4, β=0.6.

[0070] The present invention conducts further analysis on the voltage fluctuation, frequency and harmonics, pays attention to the quality issues of the power system, can timely discover the quality risks in the power system, facilitates technical personnel to respond in time, eliminates hidden dangers, and ensures the safety and stability of the hospital power system.

[0071] In a specific embodiment of the present invention, the environmental data of the main power distribution cabinet and the environmental data of the emergency power distribution cabinet are collected. The specific analysis method is: through the temperature and humidity sensors and dust concentration monitoring sensors integrated in the main power distribution cabinet, the ambient temperature S, ambient humidity D, and ambient dust concentration E of the main power distribution cabinet are obtained.

[0072] Similarly, obtain the environmental data of the emergency power distribution cabinet, including ambient temperature S′, ambient humidity D′, and ambient dust concentration E′.

[0073] The environmental data of the main power distribution cabinet are packaged in the above order to obtain the environmental data set V of the main power distribution cabinet. r , where r = 1, 2, 3, r represents the number of each environmental data.

[0074] Similarly, we get the environmental data set V of the emergency power distribution cabinetr ′.

[0075] In summary, the environmental data set V of the main power distribution cabinet is obtained. r , Environmental Dataset V of Emergency Power Distribution Cabinet r ′.

[0076] In a specific embodiment of the present invention, the environmental compliance coefficient of the main power distribution cabinet is calculated, and the environmental compliance coefficient of the emergency power distribution cabinet is calculated. The specific analysis method is: based on the environmental data set V of the main power distribution cabinet r , extract the main power distribution cabinet standard environment data set from the database By formula: The environmental compliance coefficient B of the main power distribution cabinet is calculated.

[0077] Similarly, the environmental compliance coefficient B′ of the emergency power distribution cabinet is obtained.

[0078] In summary, the environmental compliance coefficient B of the main power distribution cabinet and the environmental compliance coefficient B′ of the emergency power distribution cabinet are obtained.

[0079] In a specific embodiment of the present invention, the hospital power environment quality index is calculated by a specific analysis method: based on the environmental compliance coefficient B of the main power distribution cabinet and the environmental compliance coefficient B′ of the emergency power distribution cabinet, the hospital power environment quality index L is calculated by the formula: L=B*λ+B′*μ, wherein λ and μ are preset hospital power environment quality weight factors.

[0080] It should be noted that, in a specific embodiment, the hospital power environment quality weight factors λ, μ are preset by power technicians based on the actual power system of the hospital, and must satisfy λ+μ=1, for example λ=0.5, μ=0.5.

[0081] In a specific embodiment of the present invention, the evaluation of the comprehensive status index of the hospital power system is specifically analyzed by: based on the hospital power stability index W and the hospital power environment quality index L, the formula: Q(WL) = e W+L , the comprehensive status index Q(WL) of the hospital power system is calculated.

[0082] When the comprehensive status index Q(WL) of the hospital power system is in the first level interval, it is judged that the comprehensive status of the power system is normal.

[0083] When the comprehensive status index Q(WL) of the hospital power system is in the second level interval, it is judged that the comprehensive status of the power system is abnormal.

[0084] It should be noted that, in a specific embodiment, the first level interval and the second level interval do not represent a difference in priority, but are just a sequence of names. The first level interval and the second level interval are obtained based on historical data and stored in a database.

[0085] The comprehensive status judgment result of the power system is displayed through the display terminal. When the comprehensive status of the power system is abnormal, the voice broadcast warning mechanism of the display terminal is triggered to remind maintenance technicians to carry out maintenance.

[0086] The above contents are merely examples and explanations of the concept of the present invention. Those skilled in the art may make various modifications or additions to the specific embodiments described or replace them in a similar manner. As long as they do not deviate from the concept of the invention or exceed the scope defined by the present invention, they shall all fall within the protection scope of the present invention.

Claims

1. A comprehensive state estimation system for a power system, characterized in that: include: The load time division module is used to divide the peak time period and normal time period of the power load of each department of the hospital according to the power load of each department at each monitoring time point in the hospital history; The power supply emergency status analysis module is used to obtain the number of historical power failures in the hospital, the historical emergency power supply switching time, and analyze the hospital power supply emergency response compliance coefficient; The power supply quality analysis module is used to obtain the voltage, frequency, and harmonics of each department at each monitoring time point in the hospital and evaluate the compliance coefficient of the hospital's power supply quality; The power supply stability assessment module assesses the hospital power supply stability index based on the hospital power supply emergency response compliance coefficient and hospital power supply quality compliance coefficient; The distribution cabinet environment data collection module is used to collect various data about the main power distribution cabinet environment and the emergency power distribution cabinet environment; The power distribution cabinet environment data analysis module is used to calculate the main power distribution cabinet environment compliance coefficient and the emergency power distribution cabinet environment compliance coefficient according to the main power distribution cabinet environment data and the emergency power distribution cabinet environment data; The power supply environment assessment module calculates the hospital power environment quality index based on the environmental compliance coefficient of the main power distribution cabinet and the emergency power distribution cabinet; A comprehensive status evaluation module is used to evaluate the comprehensive status index of the hospital power system based on the hospital power stability index and the hospital power environment quality index; Terminal display module, used to display and warn the comprehensive status index of the hospital power system; The database is used to store the power load of each department of the hospital at each monitoring time point, extract the historical number of power failures in the hospital, the historical emergency power supply switching time, store standard voltage fluctuation values, standard power consumption frequencies, standard harmonics, store the standard environmental data set of the main power distribution cabinet, store the standard environmental data set of the emergency power distribution cabinet, and store the first-level interval and second-level interval of the comprehensive status index of the hospital's power system.

2. The power system comprehensive state estimation system according to claim 1, characterized in that: The peak time period and the normal time period of the power load of each department of the hospital are divided according to the power load of each department of the hospital at each monitoring time point in history. The specific division method is as follows: Extract the power load P of each department of the hospital at each monitoring time point from the database ij , where i = 1, 2, ..., m, j = 1, 2, ..., n, i represents the number of each department in the hospital, m represents the total number of departments in the hospital, j represents the number of each monitoring time point, and n represents the total number of monitoring time points. The power load of each monitoring time point of the i-th department of the hospital is averaged, and the average result is taken as the average power load of the i-th department of the hospital; A two-dimensional coordinate system is established with the monitoring time point as the horizontal axis and the power load of each monitoring time point of the i-th department of the hospital as the vertical axis. The average power load of the i-th department of the hospital is used as the boundary. The monitoring time interval corresponding to the upper image is recorded as the peak time period of the hospital's power load, and the monitoring time interval corresponding to the lower image is recorded as the general time period of the hospital's power load.

3. The power system comprehensive state estimation system according to claim 2, characterized in that: The hospital's historical power failure times and historical emergency power switching times are obtained to analyze the hospital's power supply emergency response compliance coefficient. The specific analysis method is as follows: Extract the hospital's historical power failure times G and historical emergency power supply switching times T from the database k , k = 1, 2, ..., G, k represents the number of each power failure, through the formula The hospital power supply emergency response compliance coefficient X is calculated, where e represents the identifier of the exponential function.

4. The power system comprehensive state estimation system according to claim 3, characterized in that: The specific analysis method for evaluating the hospital power supply quality compliance coefficient is as follows: The voltage U of each department at each collection time point during the peak period of hospital power load is obtained through the monitoring sensors on the power equipment of each department of the hospital. iq , frequency f iq and Harmonic C iq , where q = 1, 2, ..., Q, q represents the number of each collection time point during the peak period of the hospital's electricity load, and Q represents the total number of collection time points during the peak period of the hospital's electricity load; Voltage U of each department at each collection time point during the peak period of hospital power load iq , through the formula: The voltage fluctuation value of each department during the peak period of the hospital's electricity load is calculated and recorded as U' i ; Voltage fluctuation value U′ of each department during the peak period of hospital power load i , the frequency f of each department at each collection time point during the peak period of hospital power load iq and Harmonic C iq , through the formula: Calculate the quality coefficient y of each department during the peak period of hospital power load i ,in is the standard voltage fluctuation value stored in the database, f′ iq is the standard power frequency stored in the database, C′ iq is the standard harmonic stored in the database, ln is the identifier of the logarithmic function; Similarly, the quality coefficient analysis method of each department in the general time period of the hospital electricity load is consistent with the above, and the quality coefficient z of each department in the general time period of the hospital electricity load is obtained. i ; The quality coefficient y of each department during the peak period of hospital electricity load i , the quality coefficient of each department of the hospital's electrical load during normal time periods z i , through the formula: The hospital power supply quality compliance coefficient H is calculated.

5. The power system comprehensive state estimation system according to claim 4, characterized in that: The specific analysis method for evaluating the hospital power stability index is as follows: Based on the hospital power supply emergency response compliance coefficient X and the hospital power supply quality compliance coefficient H, the hospital power stability index W is calculated by the formula: W=X*α+H*β, where α and β are preset stability weight factors.

6. The power system comprehensive state estimation system according to claim 5, characterized in that: The specific analysis method for collecting various data of the main power distribution cabinet environment and the emergency power distribution cabinet environment is as follows: The ambient temperature S, ambient humidity D, and ambient dust concentration E of the main power distribution cabinet are obtained through the temperature and humidity sensor and dust concentration monitoring sensor integrated in the main power distribution cabinet; Similarly, obtain the environmental data of the emergency power distribution cabinet, including ambient temperature S′, ambient humidity D′, and ambient dust concentration E′; The environmental data of the main power distribution cabinet are packaged in the above order to obtain the environmental data set V of the main power distribution cabinet. r , where r = 1, 2, 3, r represents the number of each environmental data; Similarly, we get the environmental data set V′ of the emergency power distribution cabinet r .

7. The power system comprehensive state estimation system according to claim 6, characterized in that: The specific analysis method for calculating the environmental compliance coefficient of the main power distribution cabinet and the environmental compliance coefficient of the emergency power distribution cabinet is as follows: Environmental dataset V based on main power distribution cabinet r , extract the main power distribution cabinet standard environment data set from the database By formula: Calculate and obtain the environmental compliance coefficient B of the main power distribution cabinet; Similarly, the environmental compliance coefficient B′ of the emergency power distribution cabinet is obtained.

8. The power system comprehensive state estimation system according to claim 7, characterized in that: The specific analysis method for calculating the hospital power environment quality index is as follows: Based on the environmental compliance coefficient B of the main power distribution cabinet and the environmental compliance coefficient B′ of the emergency power distribution cabinet, the hospital power environment quality index L is calculated by the formula: L=B*λ+B′*μ, where λ and μ are the preset hospital power environment quality weight factors.

9. The power system comprehensive state estimation system according to claim 8, characterized in that: The specific analysis method for evaluating the comprehensive status index of the hospital power system is as follows: Based on the hospital power stability index W and hospital power environment quality index L, the formula is: Q(WL) = e W+L , the comprehensive status index Q(WL) of the hospital power system is calculated; When the comprehensive status index Q(WL) of the hospital power system is in the first level interval, it is judged that the comprehensive status of the power system is normal; When the comprehensive status index Q(WL) of the hospital power system is in the second level interval, it is judged that the comprehensive status of the power system is abnormal; The comprehensive status judgment result of the power system is displayed through the display terminal. When the comprehensive status of the power system is abnormal, the voice broadcast warning mechanism of the display terminal is triggered to remind maintenance technicians to carry out maintenance.

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