Intelligent management system and method for gas generator set

Abstract

The invention belongs to the technical field of generator set supervision, and particularly relates to an intelligent management system and method for a gas generator set, and the system comprises a gas transmission detection module, a gas quality analysis module, a gas transmission evaluation module, a gas utilization rate analysis module and a central management end. The fuel gas quality analysis module, the fuel gas conveying evaluation module and the fuel gas utilization rate analysis module are used for analyzing the quality condition, the conveying performance and the fuel gas utilization rate performance of input fuel gas step by step and carrying out accurate judgment and early warning, so that management personnel can take reasonable improvement measures in time; the management difficulty of a manager for the gas generator set is reduced, efficient, stable and safe operation of the gas generator set is guaranteed, the damage probability of the gas generator set is reduced, the gas utilization effect is improved, and effective management of operation of the gas generator set is achieved.

Description

Technical Field

[0001] The present invention relates to the technical field of generator set supervision, and in particular to an intelligent management system and method for a gas generator set. Background Art

[0002] Gas generator set is a new type of high-efficiency new energy generator set that uses liquefied gas, natural gas and other combustible gases as fuel, replacing gasoline and diesel as engine power. It is composed of gas engine, generator, control cabinet and other components, and uses gas engine to drive generator to generate electricity;

[0003] A Chinese invention patent with publication number CN111120125A discloses a collaborative optimization control system for a gas-fired internal combustion generator set. The technical solution of the invention obtains the real-time control parameter values ​​through a sensor metering module and sends them to an information acquisition module. The information acquisition module compares the data with the control parameter standard value and sends the comparison result to a controller to realize automatic control of each controlled element in the gas-fired generator.

[0004] However, in the actual application process of the above-mentioned technical solution, it is impossible to conduct a step-by-step and accurate analysis of the gas quality, gas transmission performance and gas utilization effect of the input gas-fired generator set and timely warn, which is not conducive to the management personnel to quickly make reasonable improvement measures. The management personnel have great difficulty in managing the gas-fired generator set, and it is difficult to ensure the efficient, stable and safe operation of the gas-fired generator set, and it is impossible to achieve effective management of the operation of the gas-fired generator set;

[0005] In view of the above technical defects, a solution is now proposed. Summary of the invention

[0006] The purpose of the present invention is to provide an intelligent management system and method for gas-fired generator sets, which solves the problem that the prior art cannot perform gradual and progressive accurate analysis and timely warning of the gas quality, gas transportation performance and gas utilization effect of the input gas-fired generator sets, the operation management of the gas-fired generator sets is difficult, it is difficult to ensure the efficient, stable and safe operation of the gas-fired generator sets, and the operation of the gas-fired generator sets cannot be effectively managed.

[0007] To achieve the above object, the present invention provides the following technical solutions:

[0008] A smart management system for a gas-fired generator set, comprising a gas transmission detection module, a gas quality analysis module, a gas transmission evaluation module, a gas utilization rate analysis module and a central management terminal; during the operation of the gas-fired generator set, the gas transmission detection module detects the gas entering the gas-fired generator set, and sends the collected various detection data to the gas quality analysis module and the gas transmission evaluation module; the gas quality analysis module analyzes the quality status of the input gas, generates a gas quality qualified signal or a gas quality abnormal signal accordingly, and sends the gas quality abnormal signal to the central management terminal, and sends the gas quality qualified signal to the gas transmission evaluation module;

[0009] The gas transmission evaluation module analyzes the gas transmission performance when receiving the gas quality qualified signal, generates a gas transmission qualified signal or a gas transmission abnormal signal through analysis, and sends the gas transmission abnormal signal to the central management end, and sends the gas transmission qualified signal to the gas utilization rate analysis module;

[0010] The gas utilization analysis module monitors the power generation process of the gas generator set, and analyzes the gas utilization performance of the gas generator set when receiving a qualified gas transmission signal. Through analysis, it generates a gas utilization alarm signal or a qualified gas utilization signal, and sends the gas utilization alarm signal to the central management end; when the central management end receives an abnormal gas quality signal, an abnormal gas transmission signal or a gas utilization alarm signal, it issues a corresponding warning.

[0011] Furthermore, the specific analysis process of the gas quality analysis module includes:

[0012] The average value of the methane content in the input gas per unit time is collected and marked as the combustible value, and the combustible value is numerically compared with the preset combustible value threshold. If the combustible value does not exceed the preset combustible value threshold, a gas quality abnormality signal is generated;

[0013] If the combustible value does not exceed the preset combustible threshold, the gas quality influence coefficient is obtained through gas quality impact analysis, and the gas quality influence coefficient is numerically compared with the preset gas quality influence coefficient threshold. If the gas quality influence coefficient exceeds the preset gas quality influence coefficient threshold, a gas quality abnormality signal is generated; if the gas quality influence coefficient does not exceed the preset gas quality influence coefficient threshold, a gas quality qualified signal is generated.

[0014] Furthermore, the specific analysis process of gas quality impact analysis is as follows:

[0015] The content of solid particulate matter and the moisture content in the input gas are collected and marked as solid particle detection value and moisture detection value respectively, and the content of sulfur compounds, silicon compounds and tar in the input gas are collected and marked as sulfide detection value, silicide detection value and tar detection value respectively; the solid particle detection value, moisture detection value, sulfide detection value, silicide detection value and tar detection value are assigned corresponding preset weight values ​​respectively, the solid particle detection value, moisture detection value, sulfide detection value, silicide detection value and tar detection value are multiplied by the corresponding preset weight values ​​respectively, and the sum of the product results of each group is marked as the gas inferior detection value;

[0016] All gas bad detection values ​​within a unit time are obtained and their average is calculated to obtain a gas bad condition value, and the number of gas bad detection values ​​that exceed a preset gas bad detection threshold within a unit time is marked as a gas bad risk value, and the gas bad detection value with the largest value within a unit time is marked as a gas bad amplitude value; the gas quality influence coefficient is obtained by numerically calculating the gas bad condition value, the gas bad risk value and the gas bad amplitude value.

[0017] Furthermore, the specific analysis process of the gas transmission assessment module includes:

[0018] The delivery speed, delivery pressure and gas temperature of the input gas are obtained, and the deviation value between the delivery speed and the set standard delivery speed is marked as the gas inlet speed characteristic value. Similarly, the gas inlet pressure characteristic value and the gas inlet temperature characteristic value are obtained;

[0019] Assign corresponding preset weight values ​​to the gas inlet speed characteristic value, the gas inlet pressure characteristic value and the gas inlet temperature characteristic value respectively, multiply the gas inlet speed characteristic value, the gas inlet pressure characteristic value and the gas inlet temperature characteristic value by the corresponding preset weight values ​​respectively, and mark the sum of the multiplication results of each group as the gas transmission condition real-time coefficient; compare the gas transmission condition real-time coefficient with the preset gas transmission condition real-time coefficient threshold, and if the gas transmission condition real-time coefficient exceeds the preset gas transmission condition real-time coefficient threshold, it is determined that the current state is in a gas transmission alert state;

[0020] The total duration of the gas transmission alert state in a unit time is obtained and marked as the total alert time value, and the mean of all gas transmission real-time coefficients in a unit time is calculated to obtain the transmission characteristic value, and the maximum duration of the gas transmission alert state in a unit time is marked as the alert risk value;

[0021] The gas transmission assessment coefficient is obtained by numerically calculating the total alert time value, the transmission characteristic value and the alert risk value, and the gas transmission assessment coefficient is numerically compared with the preset gas transmission assessment coefficient threshold. If the gas transmission assessment coefficient exceeds the preset gas transmission assessment coefficient threshold, a gas transmission abnormality signal is generated; if the gas transmission assessment coefficient does not exceed the preset gas transmission assessment coefficient threshold, a gas transmission qualified signal is generated.

[0022] Furthermore, the specific analysis process of gas utilization performance judgment analysis includes:

[0023] Monitor the exhaust gas emitted by the gas-fired generator set, collect the methane content in the exhaust gas and mark it as the incomplete combustion coefficient, mark the average value of all incomplete combustion coefficients per unit time as the suspicious combustion value, compare the suspicious combustion value with the preset suspicious combustion threshold, and generate a gas utilization alarm signal if the suspicious combustion value exceeds the preset suspicious combustion threshold;

[0024] If the suspicious combustion value does not exceed the preset suspicious combustion threshold, the power generation of the gas generator set per unit time and the combustible value of the input gas are collected, the power generation and the combustible value are ratio-calculated to obtain the conversion utilization coefficient, and the conversion utilization coefficient is numerically compared with the preset conversion utilization coefficient threshold. If the conversion utilization coefficient does not exceed the preset conversion utilization coefficient threshold, a gas utilization rate alarm signal is generated; if the conversion utilization coefficient exceeds the preset conversion utilization coefficient threshold, a gas utilization rate qualified signal is generated.

[0025] Furthermore, the central management end is communicated with the generator set diagnostic module. Before the gas generator set is operated, the generator set diagnostic module obtains the parts in the gas generator set that need lubrication supervision, marks the corresponding parts as monitoring parts, and performs lubrication necessity analysis on all monitoring parts. The analysis is used to determine whether there are emergency parts in the gas generator set. If there are emergency parts, a lubrication alarm signal is generated and sent to the central management end. When the central management end receives the lubrication alarm signal, it issues a corresponding warning.

[0026] Furthermore, the specific analysis process of lubrication necessity analysis is as follows:

[0027] The temperature and humidity of the corresponding monitoring part are collected, and the deviation value of the temperature from the set standard temperature is marked as the temperature monitoring coefficient. Similarly, the humidity monitoring coefficient is obtained, and the dust concentration of the corresponding monitoring part is collected and marked as the gray monitoring coefficient. The temperature monitoring coefficient, humidity monitoring coefficient and gray monitoring coefficient are numerically compared with the preset temperature monitoring coefficient threshold, the preset humidity monitoring coefficient threshold and the preset gray monitoring coefficient threshold. If the temperature monitoring coefficient, humidity monitoring coefficient or gray monitoring coefficient exceeds the corresponding preset threshold, it is judged that the corresponding monitoring part is in a lubricated and vulnerable state;

[0028] The time when the corresponding monitored part was lubricated last is collected, the time difference between the current time and the time when the corresponding monitored part was lubricated last is calculated to obtain the lubrication characteristic duration, and the lubrication application amount when the corresponding monitored part was lubricated last is collected and marked as the application characteristic coefficient;

[0029] The total duration of the corresponding monitored part in the lubrication-prone state during the time period between the current moment and the last lubrication moment is obtained and marked as the vulnerable characteristic coefficient; the lubrication alarm coefficient is obtained by numerically calculating the lubrication characteristic duration, the smear characteristic coefficient and the vulnerable characteristic coefficient, and the lubrication alarm coefficient is numerically compared with the corresponding preset lubrication alarm coefficient threshold; if the lubrication alarm coefficient exceeds the preset lubrication alarm coefficient threshold, the corresponding monitored part is marked as an emergency part.

[0030] Furthermore, during the operation of the gas generator set, if no gas quality abnormality signal, gas delivery abnormality signal and gas utilization alarm signal are generated within a unit time, the generator set diagnostic module is used to perform auxiliary abnormality diagnosis of the gas generator set, collect the real-time temperatures of several positions in the gas generator set and calculate their average to obtain the operation temperature characteristic value, and collect the vibration data of the gas generator set and the noise decibel value generated and mark them as the operation vibration characteristic value and the operation noise characteristic value;

[0031] The unit abnormal auxiliary trip value is calculated by weighted summing up the operating temperature characteristic value, operating vibration characteristic value and operating noise characteristic value, and the unit abnormal auxiliary trip value is numerically compared with the corresponding preset unit abnormal auxiliary trip threshold. If the unit abnormal auxiliary trip value exceeds the preset unit abnormal auxiliary trip threshold, an auxiliary trip alarm signal is generated and sent to the central management end. When the central management end receives the auxiliary trip alarm signal, it issues a corresponding warning.

[0032] Furthermore, the present invention also proposes a smart management method for a gas generator set, comprising the following steps:

[0033] Step 1: Detect the gas entering the gas generator set and collect various detection data of the input gas;

[0034] Step 2: Analyze the quality of the input gas, and proceed to step 3 when a gas quality qualified signal is generated, and proceed to step 5 when a gas quality abnormal signal is generated;

[0035] Step 3: Analyze the gas delivery performance, and proceed to step 4 when a gas delivery qualified signal is generated, and proceed to step 5 when a gas delivery abnormal signal is generated;

[0036] Step 4: monitor the power generation process of the gas generator set and analyze its gas utilization performance, and proceed to step 5 when a gas utilization alarm signal is generated;

[0037] Step 5: The central management terminal issues a corresponding warning.

[0038] Compared with the prior art, the present invention has the following beneficial effects:

[0039] 1. In the present invention, the quality status, transportation performance and gas utilization performance of the input gas are gradually and progressively analyzed and accurately judged and warned through the gas quality analysis module, the gas transmission evaluation module and the gas utilization analysis module, thereby reducing the management difficulty of the gas generator set by the management personnel, ensuring the efficient, stable and safe operation of the gas generator set, reducing the probability of damage to the gas generator set and improving the gas utilization effect, thereby realizing effective management of the operation of the gas generator set;

[0040] 2. In the present invention, the generator set diagnostic module is used to analyze the necessity of lubrication of the parts in the gas generator set that need lubrication supervision before the gas generator set is operated, so as to determine the emergency parts and notify the management personnel to apply lubrication in time, which is beneficial to the safe and stable operation of the gas generator set. When there are no abnormalities in gas quality, gas transportation and gas utilization during the operation of the gas generator set, the generator set diagnostic module performs auxiliary diagnosis of the abnormalities of the gas generator set and promptly warns, thereby reducing the operating risk of the gas generator set, further reducing the difficulty of operating management of the gas generator set, and having a high degree of intelligence. BRIEF DESCRIPTION OF THE DRAWINGS

[0041] In order to facilitate understanding by those skilled in the art, the present invention is further described below in conjunction with the accompanying drawings;

[0042] Figure 1 This is a system block diagram of Embodiment 1 of the present invention;

[0043] Figure 2 It is a system block diagram of Embodiment 2 and Embodiment 3 of the present invention;

[0044] Figure 3 This is a flow chart of the method of Embodiment 4 of the present invention. DETAILED DESCRIPTION

[0045] 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.

[0046] Embodiment 1: Figure 1As shown, the present invention proposes a smart management system for gas-fired generator sets, including a gas transmission detection module, a gas quality analysis module, a gas transmission evaluation module, a gas utilization analysis module and a central management terminal;

[0047] During the operation of the gas generator set, the gas transmission detection module detects and collects data on the gas entering the gas generator set, and sends the collected detection data to the gas quality analysis module and the gas transmission evaluation module, providing data support for the analysis process of the gas quality analysis module and the gas transmission evaluation module;

[0048] The gas quality analysis module analyzes the quality of the input gas, generates a gas quality qualified signal or a gas quality abnormal signal based on the analysis, and sends the gas quality abnormal signal to the central management end. When the central management end receives the gas quality abnormal signal, it issues a corresponding warning to remind the management personnel to check the input gas, suspend the input of the corresponding gas in time and switch to high-quality gas, so as to reduce the damage to the gas generator set and improve its power generation efficiency and operation safety. The specific analysis process of the gas quality analysis module includes:

[0049] The average value of the methane content in the gas input per unit time is collected and marked as a combustible value, and the combustible value is numerically compared with a preset combustible value threshold. If the combustible value does not exceed the preset combustible threshold, it indicates that the gas quality of the gas input per unit time is poor, and a gas quality abnormality signal is generated;

[0050] If the combustibility value does not exceed the preset combustibility threshold, the gas quality influence coefficient is obtained through gas quality influence analysis, specifically: the content of solid particles (solid particles such as dust have an impact on gas generator sets mainly by causing filter blockage, insufficient air intake and pressure reduction, etc.) and moisture content (the presence of moisture will affect the combustion efficiency and calorific value of the gas) in the input gas are collected and marked as solid particle detection value and moisture detection value respectively;

[0051] The content of sulfur compounds, silicon compounds (silicon compounds will produce silicon oxide later, which is easy to form sediments) and tar (tar condenses into liquid when it is cooled at low temperatures, which will block the intake system, turbocharger blades and intercooler components of the gas generator set) in the input fuel gas are collected and marked as sulfide detection value, silicon compound detection value and tar detection value respectively;

[0052] The solid particle detection value, the moisture detection value, the sulfide detection value, the silicide detection value and the tar detection value are respectively assigned corresponding preset weight values, and the values ​​of the five sets of preset weight values ​​are all positive numbers, and the larger the value of the preset weight value is, the greater the adverse effect of the corresponding corresponding parameter on the gas quality is;

[0053] The solid particle detection value, moisture detection value, sulfide detection value, silicide detection value and tar detection value are multiplied by the corresponding preset weight values ​​respectively, and the sum of the multiplication results of each group is marked as the gas bad detection value; and the larger the value of the gas bad detection value, the worse the gas quality of the gas input at the corresponding moment;

[0054] All gas bad detection values ​​within a unit time are obtained and their average is calculated to obtain a gas bad condition value, and the number of gas bad detection values ​​exceeding a preset gas bad detection threshold within a unit time is marked as a gas bad risk value, and the gas bad detection value with the largest value within a unit time is marked as a gas bad amplitude value;

[0055] The gas quality influence coefficient XP is obtained by numerically calculating the gas quality value SW, the gas quality risk value YM and the gas quality amplitude value HP through the formula XP=tu×YM+(aq×SW+kp×HP) / 2; wherein aq, tu and kp are preset weight coefficients with values ​​greater than zero, tu>kp>aq; and the larger the value of the gas quality influence coefficient XP is, the worse the quality of the gas input per unit time is overall;

[0056] The gas quality influence coefficient XP is numerically compared with the preset gas quality influence coefficient threshold. If the gas quality influence coefficient XP exceeds the preset gas quality influence coefficient threshold, it indicates that the gas quality of the gas input per unit time is generally poor, and a gas quality abnormality signal is generated; if the gas quality influence coefficient XP does not exceed the preset gas quality influence coefficient threshold, it indicates that the gas quality of the gas input per unit time is generally good, and a gas quality qualified signal is generated.

[0057] The gas quality analysis module sends the gas quality qualified signal to the gas transmission evaluation module. When the gas transmission evaluation module receives the gas quality qualified signal, it analyzes the gas transmission performance, generates a gas transmission qualified signal or a gas transmission abnormal signal through analysis, and sends the gas transmission abnormal signal to the central management end. When the central management end receives the gas transmission abnormal signal, it issues a corresponding warning to remind the management personnel to adjust the gas transmission in time, including adjusting the speed, pressure, temperature, etc. of the gas transmission, to ensure that the gas transmission always meets the requirements, which is conducive to the safe, stable and efficient operation of the gas generator set; the specific analysis process of the gas transmission evaluation module is as follows:

[0058] The delivery speed, delivery pressure and gas temperature of the input gas are obtained, and the deviation value of the delivery speed from the set standard delivery speed is marked as the gas input speed characteristic value, the deviation value of the delivery pressure from the set standard delivery pressure is marked as the gas input pressure characteristic value, and the deviation value of the delivery temperature from the set standard delivery temperature is marked as the gas input temperature characteristic value;

[0059] The gas inlet speed characteristic value, the gas inlet pressure characteristic value and the gas inlet temperature characteristic value are respectively assigned corresponding preset weight values, and all the preset weight values ​​are positive numbers. Moreover, the larger the value of the corresponding preset weight value is, the greater the influence of the corresponding parameter on the real-time evaluation result of the gas transmission performance is.

[0060] The gas inlet speed characteristic value, the gas inlet pressure characteristic value and the gas inlet temperature characteristic value are multiplied by the corresponding preset weight values ​​respectively, and the sum of the multiplication results of each group is marked as the gas transmission condition real-time coefficient; wherein, the larger the value of the gas transmission condition real-time coefficient is, the worse the real-time performance of gas transmission is;

[0061] Compare the gas transmission condition real-time coefficient with the preset gas transmission condition real-time coefficient threshold. If the gas transmission condition real-time coefficient exceeds the preset gas transmission condition real-time coefficient threshold, it indicates that the gas transmission real-time performance is poor, and it is determined that the current state is in the gas transmission alert state.

[0062] The total duration of the gas transmission alert state in a unit time is obtained and marked as the total alert time value, and the mean of all gas transmission real-time coefficients in a unit time is calculated to obtain the transmission characteristic value, and the maximum duration of the gas transmission alert state in a unit time is marked as the alert risk value;

[0063] The total alert time value SY, the transmission characteristic value FW and the alert risk value GX are numerically calculated by the formula TM=(wq×SY+hy×GX) / 2+eg×FW to obtain the gas transmission evaluation coefficient TM; wherein wq, eg, hy are preset weight coefficients with values ​​greater than zero, and the larger the value of the gas transmission evaluation coefficient TM, the worse the transmission performance for gas transmission in unit time;

[0064] The gas transmission assessment coefficient TM is numerically compared with the preset gas transmission assessment coefficient threshold. If the gas transmission assessment coefficient TM exceeds the preset gas transmission assessment coefficient threshold, indicating that the transmission performance for gas transmission per unit time is poor, a gas transmission abnormal signal is generated; if the gas transmission assessment coefficient TM does not exceed the preset gas transmission assessment coefficient threshold, indicating that the transmission performance for gas transmission per unit time is good, a gas transmission qualified signal is generated.

[0065] The gas transmission assessment module sends the gas transmission qualified signal to the gas utilization analysis module. The gas utilization analysis module monitors the power generation process of the gas generator set. When receiving the gas transmission qualified signal, it conducts gas utilization performance judgment and analysis on the gas generator set. Through analysis, it generates a gas utilization alarm signal or a gas utilization qualified signal, and sends the gas utilization alarm signal to the central management end. When the central management end receives the gas utilization alarm signal, it issues a corresponding warning to remind the management personnel to conduct cause investigation and analysis in time and make reasonable improvement measures to ensure the utilization of gas, reduce energy waste, and reduce the difficulty of management personnel in managing the gas generator set. The specific analysis process of the gas utilization performance judgment and analysis is as follows:

[0066] Monitor the exhaust gas emitted by the gas-fired generator set, collect the methane content in the exhaust gas and mark it as the incomplete combustion coefficient, mark the average value of all incomplete combustion coefficients per unit time as the suspicious combustion value, compare the suspicious combustion value with the preset suspicious combustion threshold, if the suspicious combustion value exceeds the preset suspicious combustion threshold, it indicates that the combustible components in the gas have not been effectively utilized, and there is a high probability of incomplete combustion in the operation of the gas-fired generator set, resulting in fuel waste, and then generate a gas utilization alarm signal;

[0067] If the suspicious combustion value does not exceed the preset suspicious combustion threshold, the power generation of the gas generator set and the combustible value of the input gas per unit time are collected, and the power generation and the combustible value are calculated to obtain the conversion utilization coefficient. If the value of the conversion utilization coefficient is too small, it indicates that the energy conversion of the gas generator set is obviously abnormal and the energy conversion efficiency is poor.

[0068] The conversion utilization coefficient is numerically compared with the preset conversion utilization coefficient threshold. If the conversion utilization coefficient does not exceed the preset conversion utilization coefficient threshold, it indicates that there is an obvious abnormality in the energy conversion of the gas-fired generator set and the energy conversion efficiency is poor, then a gas utilization rate alarm signal is generated; if the conversion utilization coefficient exceeds the preset conversion utilization coefficient threshold, it indicates that there is no abnormality in the energy conversion efficiency of the gas-fired generator set and the utilization rate of the gas is high, then a gas utilization rate qualified signal is generated.

[0069] Embodiment 2: Figure 2 As shown, the difference between this embodiment and the first embodiment is that the central management end is connected to the generator set diagnostic module by communication. Before the gas generator set is operated, the generator set diagnostic module obtains the parts in the gas generator set that need to be lubricated and supervised (mainly some internal bearing parts), marks the corresponding parts as monitoring parts, and performs lubrication necessity analysis on all monitoring parts, and judges whether there are emergency parts in the gas generator set through analysis;

[0070] If there is an emergency part, a lubrication alarm signal is generated and sent to the central management end. When the central management end receives the lubrication alarm signal, it issues a corresponding warning to remind the management personnel to apply lubricating oil to the corresponding parts in time to ensure the lubrication effect of each part, which is beneficial to the safe and stable operation of the gas generator set. The specific analysis process of lubrication necessity analysis is as follows:

[0071] The temperature and humidity of the corresponding monitoring part are collected (temperature and humidity that are too high or too low are not conducive to maintaining the quality of the lubricating oil in the corresponding monitoring part), the deviation value of the temperature compared to the set standard temperature is marked as the temperature monitoring coefficient, the deviation value of the humidity compared to the set standard humidity is marked as the humidity monitoring coefficient, and the dust concentration of the corresponding monitoring part is collected and marked as the gray monitoring coefficient (when the dust concentration is too high, it is not conducive to maintaining the quality of the lubricating oil in the corresponding monitoring part);

[0072] The temperature monitoring coefficient, humidity monitoring coefficient and gray monitoring coefficient are numerically compared with the preset temperature monitoring coefficient threshold, the preset humidity monitoring coefficient threshold and the preset gray monitoring coefficient threshold, respectively. If the temperature monitoring coefficient, humidity monitoring coefficient or gray monitoring coefficient exceeds the corresponding preset threshold, it indicates that the current environment of the corresponding monitoring part has a greater adverse effect on the lubricating oil state, and the corresponding monitoring part is judged to be in a lubrication-prone state;

[0073] The time when the corresponding monitored part was lubricated last time is collected, and the time difference between the current time and the time when the lubrication was last performed is calculated to obtain the lubrication characteristic duration, and the lubrication application amount when the corresponding monitored part was lubricated last time is collected and marked as the application characteristic coefficient; the total time when the corresponding monitored part is in the lubrication vulnerable state during the time period between the current time and the time when the lubrication was last performed is obtained and marked as the vulnerable characteristic coefficient;

[0074] The lubrication alarm coefficient R is obtained by numerically calculating the lubrication characteristic duration GM, the smearing characteristic coefficient QK and the vulnerable characteristic coefficient FY through the formula R=(te×GM+cp×FY) / (es×QK+1); wherein es, te, cp are preset proportional coefficients with values ​​greater than zero, and the larger the value of the lubrication alarm coefficient R, the worse the lubrication condition of the corresponding monitored part, and the more it is necessary to apply lubricating oil to the corresponding monitored part in time;

[0075] The lubrication alarm coefficient R is numerically compared with the corresponding preset lubrication alarm coefficient threshold. If the lubrication alarm coefficient R exceeds the preset lubrication alarm coefficient threshold, it indicates that the lubrication condition of the corresponding monitoring part is poor. At this time, it is necessary to use lubricating oil to apply to the corresponding monitoring part in time, and the corresponding monitoring part will be marked as an emergency part.

[0076] Embodiment 3: Figure 2As shown, the difference between this embodiment and the first and second embodiments is that during the operation of the gas generator set, if no gas quality abnormality signal, gas delivery abnormality signal and gas utilization alarm signal are generated per unit time, the generator set diagnostic module performs auxiliary abnormality diagnosis of the gas generator set, collects the real-time temperatures of several positions in the gas generator set and calculates the average thereof to obtain the operation temperature characteristic value, and collects the vibration data of the gas generator set and the noise decibel value generated and marks them as the operation vibration characteristic value and the operation noise characteristic value;

[0077] The unit abnormal auxiliary trip value ZS is obtained by weighting and summing the operating temperature characteristic value NY, the operating vibration characteristic value WL and the operating noise characteristic value MQ through the formula ZS=sq×NY+tp×WL+mg×MQ; wherein sq, tp and mg are preset weight coefficients with values ​​greater than zero, and the larger the value of the unit abnormal auxiliary trip value ZS is, the more abnormal the current operating condition of the gas generator set is, and the greater the probability of operating abnormality is;

[0078] The abnormal auxiliary trip value ZS of the unit is numerically compared with the corresponding preset abnormal auxiliary trip threshold of the unit. If the abnormal auxiliary trip value ZS of the unit exceeds the preset abnormal auxiliary trip threshold of the unit, it indicates that the current operating condition of the gas generator set is abnormal and there is a high probability of abnormal operation. Then an auxiliary trip alarm signal is generated and sent to the central management end. When the central management end receives the auxiliary trip alarm signal, it issues a corresponding early warning to remind management personnel to promptly investigate and analyze the causes and take corresponding improvement measures, thereby reducing the operating risk of the gas generator set, ensuring the operating efficiency and safety of the gas generator set, and further reducing the difficulty of operating management of the gas generator set.

[0079] Embodiment 4: Figure 3 As shown, the difference between this embodiment and the first, second and third embodiments is that the intelligent management method of a gas generator set proposed by the present invention comprises the following steps:

[0080] Step 1: Detect the gas entering the gas generator set and collect various detection data of the input gas;

[0081] Step 2: Analyze the quality of the input gas, and proceed to step 3 when a gas quality qualified signal is generated, and proceed to step 5 when a gas quality abnormal signal is generated;

[0082] Step 3: Analyze the gas delivery performance, and proceed to step 4 when a gas delivery qualified signal is generated, and proceed to step 5 when a gas delivery abnormal signal is generated;

[0083] Step 4: monitor the power generation process of the gas generator set and analyze its gas utilization performance, and proceed to step 5 when a gas utilization alarm signal is generated;

[0084] Step 5: The central management terminal issues a corresponding warning.

[0085] The working principle of the present invention is as follows: when in use, the gas entering the gas generator set is detected and data is collected through the gas transmission detection module, the gas quality analysis module analyzes the quality status of the input gas, and when a gas quality qualified signal is generated, the gas transmission performance is analyzed through the gas transmission evaluation module, and when a gas transmission qualified signal is generated, the power generation process of the gas generator set is monitored and the gas utilization performance is judged through the gas utilization analysis module, and when a gas quality abnormality signal, a gas transmission abnormality signal or a gas utilization alarm signal is generated, the central management end triggers an early warning mechanism to remind management personnel to promptly conduct cause investigation and analysis and make reasonable improvement measures, thereby reducing the difficulty of management personnel in managing the gas generator set, ensuring efficient, stable and safe operation of the gas generator set, reducing the probability of damage to the gas generator set and improving the gas utilization effect, and having a high degree of intelligence.

[0086] The above formulas are all dimensionless and numerical calculations. The 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. The preferred embodiments of the present invention disclosed above are only used to help explain the present invention. The preferred embodiments do not describe all the details in detail, nor do they limit the invention to only specific implementation methods. Obviously, many modifications and changes can be made according to the contents of this specification. This specification selects and specifically describes these embodiments in order to better explain the principles and practical applications of the present invention, so that technicians in the relevant technical field can understand and use the present invention well. The present invention is only limited by the claims and their full scope and equivalents.

Claims

1. A smart management system for a gas generator set, characterized in that: It includes a gas transmission detection module, a gas quality analysis module, a gas transmission evaluation module, a gas utilization analysis module and a central management terminal; during the operation of the gas generator set, the gas transmission detection module detects the gas entering the gas generator set, and sends the collected detection data to the gas quality analysis module and the gas transmission evaluation module; the gas quality analysis module analyzes the quality status of the input gas, generates a gas quality qualified signal or a gas quality abnormal signal based on the quality status, and sends the gas quality abnormal signal to the central management terminal, and sends the gas quality qualified signal to the gas transmission evaluation module; When the gas transmission evaluation module receives a gas quality qualified signal, it analyzes the gas transmission performance, generates a gas transmission qualified signal or a gas transmission abnormality signal through analysis, and sends the gas transmission abnormality signal to the central management end, and sends the gas transmission qualified signal to the gas utilization analysis module; when the gas utilization analysis module receives a gas transmission qualified signal, it performs a gas utilization performance judgment analysis on the gas generator set, generates a gas utilization alarm signal or a gas utilization qualified signal through analysis, and sends the gas utilization alarm signal to the central management end.

2. The intelligent management system of a gas generator set according to claim 1, characterized in that: The specific analysis process of the gas quality analysis module includes: The average value of the methane content in the input gas per unit time is collected and marked as the combustible value. If the combustible value does not exceed the preset combustible threshold, a gas quality abnormality signal is generated; if the combustible value does not exceed the preset combustible threshold, the gas quality influence coefficient is obtained through gas quality influence analysis. If the gas quality influence coefficient exceeds the preset gas quality influence coefficient threshold, a gas quality abnormality signal is generated; otherwise, a gas quality qualified signal is generated.

3. The intelligent management system of a gas generator set according to claim 2 is characterized in that: The specific analysis process of gas quality impact analysis is as follows: All gas bad detection values ​​within a unit time are obtained and their average is calculated to obtain a gas bad condition value, and the number of gas bad detection values ​​that exceed a preset gas bad detection threshold within a unit time is marked as a gas bad risk value, and the gas bad detection value with the largest value within a unit time is marked as a gas bad amplitude value; the gas quality influence coefficient is obtained by numerically calculating the gas bad condition value, the gas bad risk value and the gas bad amplitude value.

4. The intelligent management system of a gas generator set according to claim 1, characterized in that: The specific analysis process of the gas transmission assessment module includes: The gas transmission assessment coefficient is obtained by numerically calculating the total alert time value, the transmission characteristic value and the alert risk value. If the gas transmission assessment coefficient exceeds the preset gas transmission assessment coefficient threshold, a gas transmission abnormality signal is generated; otherwise, a gas transmission qualified signal is generated.

5. The intelligent management system for a gas-fired generator set according to claim 1, characterized in that: The specific analysis process of gas utilization performance judgment analysis includes: The methane content in the exhaust gas is collected and marked as the incomplete combustion coefficient, and the average value of all incomplete combustion coefficients per unit time is marked as the suspicious combustion value. If the suspicious combustion value exceeds the preset suspicious combustion threshold, a gas utilization alarm signal is generated; If the suspicious combustion value does not exceed the preset suspicious combustion threshold, the power generation of the gas generator set per unit time and the combustible value of the input gas are collected, and the power generation and the combustible value are ratio-calculated to obtain the conversion utilization coefficient. If the conversion utilization coefficient does not exceed the preset conversion utilization coefficient threshold, a gas utilization rate alarm signal is generated; otherwise, a gas utilization rate qualified signal is generated.

6. The intelligent management system for a gas generator set according to claim 1, characterized in that: The central management end is connected to the generator set diagnostic module through communication. Before the gas generator set is operated, the generator set diagnostic module obtains the parts in the gas generator set that need lubrication supervision, marks the corresponding parts as monitoring parts, and analyzes the necessity of lubrication of all monitoring parts to determine whether there are emergency parts in the gas generator set. If there are emergency parts, a lubrication alarm signal is generated.

7. The intelligent management system for a gas generator set according to claim 6, characterized in that: The specific analysis process of lubrication necessity analysis is as follows: The lubrication alarm coefficient is obtained by numerically calculating the lubrication characteristic duration, the smear characteristic coefficient and the vulnerable characteristic coefficient. If the lubrication alarm coefficient exceeds the preset lubrication alarm coefficient threshold, the corresponding monitoring part is marked as an emergency part.

8. The intelligent management system for a gas-fired generator set according to claim 6, characterized in that: During the operation of the gas generator set, if no gas quality abnormality signal, gas delivery abnormality signal and gas utilization alarm signal are generated within a unit time, the generator set diagnostic module will perform abnormal auxiliary diagnosis of the gas generator set. If the unit abnormal auxiliary trip value exceeds the preset unit abnormal auxiliary trip threshold, an auxiliary trip alarm signal will be generated and sent to the central management end.

9. A smart management method for a gas generator set, characterized in that: The intelligent management method adopts the intelligent management system of the gas generator set as described in any one of claims 1-8.

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