Fault detection system and method for automatic loading machine

Abstract

The invention relates to the field of automatic loading machines, in particular to a fault detection system and method for an automatic loading machine, and is used for solving the problems that a traditional fault detection method for the automatic loading machine often depends on manual inspection and experience judgment, detection is not timely, and the misjudgment rate is high. The system comprises the following modules: a fault detection module, a fault analysis module, an analysis and judgment module and an abnormity alarm module. According to the method, the running state of the automatic loading machine can be monitored in real time, the feature information reflecting the fault can be extracted, the timeliness and accuracy of fault detection are improved, comprehensive monitoring of the running state of the automatic loading machine and timely alarm of fault abnormity are achieved, the response speed and the processing capacity of maintenance personnel are improved, and the maintenance efficiency is improved. According to the automatic bullet loading machine, convenience is provided for maintenance personnel, the maintenance efficiency is improved, the operation efficiency and the safety of the automatic bullet loading machine are improved, and the downtime and the maintenance cost caused by faults are reduced.

Description

Technical Field

[0001] The present invention relates to the field of automatic loading machines, and in particular to a fault detection system and method for automatic loading machines. Background Art

[0002] An autoloader is an automatic device for modern artillery or tanks that is inspired by the magazine of a gun. It replaces the physical burden and time-consuming process of manually carrying and loading shells. Usually, the autoloader itself can store a certain number of shells, which can then be reloaded manually after they have been fired.

[0003] With the continuous improvement of the performance requirements of weapons and equipment in modern warfare, the stability and reliability of automatic loaders, as one of the key equipment, have an important impact on the continued performance of combat effectiveness. Existing automatic loaders may encounter various faults during operation. If these faults are not handled in time, they may cause production interruptions or even equipment damage or safety accidents. However, traditional automatic loader fault detection methods often rely on manual inspections and empirical judgments, and there are problems such as untimely detection and high misjudgment rate. Therefore, developing a system and method that can detect automatic loader faults in real time and accurately is of great significance to improving equipment use efficiency and reducing maintenance costs. Summary of the invention

[0004] In order to overcome the above-mentioned technical problems, the purpose of the present invention is to provide a fault detection system and method for an automatic loader: the fault analysis parameters of the automatic loader are obtained through a fault detection module, wherein the fault analysis parameters include time information, vibration information, noise information and electrical information; the fault analysis index is obtained according to the fault analysis parameters through the fault analysis module; an abnormal alarm instruction is generated according to the fault analysis index through the analysis and judgment module; an abnormal alarm bell sounds after the abnormal alarm module receives the abnormal alarm instruction, thereby solving the problem that the traditional automatic loader fault detection method often relies on manual inspection and experience judgment, and has the problems of untimely detection and high misjudgment rate.

[0005] The purpose of the present invention can be achieved by the following technical solutions:

[0006] A fault detection system for an automatic loader, comprising:

[0007] A fault analysis module is used to obtain a fault analysis index GZ according to the fault analysis parameters, and send the fault analysis index GZ to the analysis and judgment module;

[0008] The specific process of the fault analysis module obtaining the fault analysis index GZ is as follows:

[0009] Normalize the time information SJ, vibration information ZD, noise information ZK and electrical information DQ, and quantize the values ​​of the time information SJ, vibration information ZD, noise information ZK and electrical information DQ according to a preset fault analysis function to obtain a fault analysis index GZ, and send the fault analysis index GZ to the analysis and judgment module;

[0010] An analysis and judgment module is used to generate an abnormal alarm instruction according to the fault analysis index GZ, and send the abnormal alarm instruction to the abnormal alarm module;

[0011] The abnormal alarm module is used to sound an abnormal alarm bell after receiving an abnormal alarm instruction.

[0012] As a further solution of the present invention: the fault analysis function is as follows:

[0013]

[0014] Where:

[0015] λ is the preset error adjustment factor, and λ=0.942;

[0016] g1, g2, g3 and g4 are preset weight factors corresponding to the set time information SJ, vibration information ZD, noise information ZK and electrical information DQ respectively. g1, g2, g3 and g4 satisfy g2>g3>g4>g1>1.252, and g1=1.63, g2=3.03, g3=2.57, g4=1.96.

[0017] As a further solution of the present invention: the fault detection system of the automatic loader also includes:

[0018] The fault detection module is used to obtain the fault analysis parameters of the automatic loader and send the fault analysis parameters to the fault analysis module; wherein the fault analysis parameters include time information SJ, vibration information ZD, noise information ZK and electrical information DQ.

[0019] As a further solution of the present invention: the specific process of the fault detection module acquiring the time information SJ is as follows:

[0020] The time when the automatic loader receives the automatic loading instruction and the time when the automatic loading starts are obtained, the time difference between the two is obtained, and it is marked as the index time value ZS; the time when the automatic loader starts automatic loading and the time when the automatic loading is completed are obtained, the time difference between the two is obtained, and it is marked as the completion time value WS; the index time value ZS and the completion time value WS are quantized, the values ​​of the index time value ZS and the completion time value WS are extracted, and they are substituted into the formula for calculation, and the time information SJ is obtained according to the formula SJ=s1×ZS+s2×WS, wherein s1 and s2 are respectively the preset proportional coefficients corresponding to the set index time value ZS and the completion time value WS, s1 and s2 satisfy s1+s2=1, 0<s1<s2<1, and s1=0.37 and s2=0.63.

[0021] As a further solution of the present invention: the specific process of the fault detection module acquiring the vibration information ZD is as follows:

[0022] Get the total number of vibrations and the maximum vibration amplitude of the automatic loader during the most recent automatic loading process, and mark them as the vibration value ZC and the amplitude value ZF respectively, quantify the vibration value ZC and the amplitude value ZF, extract the values ​​of the vibration value ZC and the amplitude value ZF, and substitute them into the formula for calculation. The vibration information ZD is obtained, wherein d1 and d2 are preset proportional coefficients corresponding to the set vibration frequency value ZC and amplitude value ZF respectively, and d1 and d2 satisfy d1+d2=1, 0<d1<d2<1, and d1=0.39 and d2=0.61.

[0023] As a further solution of the present invention: the specific process of the fault detection module obtaining the noise information ZK is as follows:

[0024] Get the sound intensity of the noise during the most recent automatic loading process of the automatic loader, and mark it as the sound intensity value SQ, mark the maximum sound intensity value SQ as the strongest value ZQ, set the sound intensity threshold SQy, get the total duration of the sound intensity value SQ ≥ the sound intensity threshold SQy, and mark it as the strong duration QS, get the product of the strongest value ZQ and the strong duration QS, and mark it as the noise information ZK.

[0025] As a further solution of the present invention: the specific process of the fault detection module acquiring the electrical information DQ is as follows:

[0026] The product of the current value DL and the voltage value DY is obtained and marked as electrical information DQ.

[0027] As a further solution of the present invention: the specific process of obtaining the current value DL is as follows:

[0028] The real-time current and real-time voltage of the automatic loader during the most recent automatic loading process are obtained, and they are marked as the real current value SL and the real pressure value SY respectively. The maximum real current value SL is marked as the maximum current value ZL, and the maximum current threshold ZLy is set. The total duration of the maximum current value ZL ≥ the maximum current threshold ZLy is obtained and marked as the flow time value LS. The maximum current value ZL and the flow time value LS are quantified, and the values ​​of the maximum current value ZL and the flow time value LS are extracted and substituted into the formula for calculation. According to the formula The current value DL is obtained, where e is a mathematical constant, i1 and i2 are the preset proportional coefficients corresponding to the set maximum current value ZL and the current time value LS respectively, i1 and i2 satisfy i1+i2=1, 0<i2<i1<1, and i1=0.58 and i2=0.42.

[0029] As a further solution of the present invention: the specific process of obtaining the voltage value DY is as follows:

[0030] The maximum actual pressure value SY is marked as the maximum pressure value ZY, the maximum pressure threshold ZYy is set, the total duration of the maximum pressure value ZY ≥ the maximum pressure threshold ZYy is obtained, and it is marked as the pressure time value YS, the maximum pressure value ZY and the pressure time value YS are quantified, the values ​​of the maximum pressure value ZY and the pressure time value YS are extracted, and they are substituted into the formula for calculation. According to the formula The voltage value DY is obtained, where e is a mathematical constant, u1 and u2 are the preset proportional coefficients corresponding to the set maximum voltage value ZY and the pressure time value YS respectively, and u1 and u2 satisfy u1+u2=1, 0<u2<u1<1, and u1=0.53 and u2=0.47.

[0031] As a further solution of the present invention: a fault detection method for an automatic loader comprises the following steps:

[0032] Step s1: the fault detection module obtains the time when the automatic loader receives the automatic loading instruction and the time when the automatic loading starts, obtains the time difference between the two, and marks it as the index time value ZS, obtains the time when the automatic loader starts automatic loading and the time when the automatic loading is completed, obtains the time difference between the two, and marks it as the completion time value WS, quantizes the index time value ZS and the completion time value WS, extracts the values ​​of the index time value ZS and the completion time value WS, and substitutes them into the formula for calculation, and obtains the time information SJ according to the formula SJ=s1×ZS+s2×WS, wherein s1 and s2 are respectively the preset proportional coefficients corresponding to the set index time value ZS and the completion time value WS, s1 and s2 satisfy s1+s2=1, 0<s1<s2<1, and s1=0.37 and s2=0.63;

[0033] Step s2: The fault detection module obtains the total number of vibrations and the maximum vibration amplitude during the most recent automatic loading process of the automatic loader, and marks them as the vibration value ZC and the amplitude value ZF respectively, quantifies the vibration value ZC and the amplitude value ZF, extracts the values ​​of the vibration value ZC and the amplitude value ZF, and substitutes them into the formula for calculation. According to the formula Obtain vibration information ZD, where d1 and d2 are preset proportional coefficients corresponding to the set vibration frequency value ZC and amplitude value ZF, respectively, d1 and d2 satisfy d1+d2=1, 0<d1<d2<1, and d1=0.39 and d2=0.61;

[0034] Step s3: The fault detection module obtains the sound intensity of the noise during the most recent automatic loading process of the automatic loader, and marks it as the sound intensity value SQ, marks the maximum sound intensity value SQ as the strongest value ZQ, sets the sound intensity threshold SQy, obtains the total duration of the sound intensity value SQ ≥ the sound intensity threshold SQy, and marks it as the strong duration QS, obtains the product of the strongest value ZQ and the strong duration QS, and marks it as the noise information ZK;

[0035] Step s4: The fault detection module obtains the real-time current and real-time voltage of the automatic loader during the most recent automatic loading process, and marks them as the real current value SL and the real pressure value SY respectively, marks the largest real current value SL as the maximum current value ZL, sets the maximum current threshold ZLy, obtains the total duration of the maximum current value ZL ≥ the maximum current threshold ZLy, and marks it as the flow time value LS, quantifies the maximum current value ZL and the flow time value LS, extracts the values ​​of the maximum current value ZL and the flow time value LS, and substitutes them into the formula for calculation, according to the formula The current value DL is obtained, where e is a mathematical constant, i1 and i2 are respectively the preset proportional coefficients corresponding to the set maximum current value ZL and the current time value LS, i1 and i2 satisfy i1+i2=1, 0<i2<i1<1, i1=0.58, i2=0.42, the maximum actual pressure value SY is marked as the maximum pressure value ZY, the maximum pressure threshold ZYy is set, the total duration of the maximum pressure value ZY≥the maximum pressure threshold ZYy is obtained, and it is marked as the pressure time value YS, the maximum pressure value ZY and the pressure time value YS are quantified, the values ​​of the maximum pressure value ZY and the pressure time value YS are extracted, and they are substituted into the formula for calculation, according to the formula The voltage value DY is obtained, wherein e is a mathematical constant, u1 and u2 are respectively the preset proportional coefficients corresponding to the set maximum voltage value ZY and the voltage time value YS, u1 and u2 satisfy u1+u2=1, 0<u2<u1<1, u1=0.53, u2=0.47, and the product of the current value DL and the voltage value DY is obtained, and it is marked as electrical information DQ;

[0036] Step s5: the fault detection module sends the time information SJ, vibration information ZD, noise information ZK and electrical information DQ to the fault analysis module;

[0037] Step s6: The fault analysis module normalizes the time information SJ, the vibration information ZD, the noise information ZK and the electrical information DQ, and quantifies the values ​​of the time information SJ, the vibration information ZD, the noise information ZK and the electrical information DQ according to a preset fault analysis function to obtain a fault analysis index GZ, and sends the fault analysis index GZ to the analysis and judgment module;

[0038] Among them, the fault analysis function is as follows:

[0039]

[0040] Where:

[0041] λ is the preset error adjustment factor, and λ=0.942;

[0042] g1, g2, g3 and g4 are respectively preset weight factors corresponding to the set time information SJ, vibration information ZD, noise information ZK and electrical information DQ, g1, g2, g3 and g4 satisfy g2>g3>g4>g1>1.252, g1=1.63, g2=3.03, g3=2.57, g4=1.96;

[0043] Step s7: The user sets the fault analysis threshold GZy by himself, and the analysis and judgment module compares the fault analysis index GZ with the fault analysis threshold GZy. The comparison result is as follows:

[0044] If the fault analysis index GZ ≥ the fault analysis threshold GZy, an abnormal alarm instruction is generated and sent to the abnormal alarm module;

[0045] Step s8: After receiving the abnormal alarm instruction, the abnormal alarm module sounds an abnormal alarm bell.

[0046] Beneficial effects of the present invention:

[0047] The present invention provides a fault detection system and method for an automatic loader, which performs real-time detection on the automatic loader to obtain fault analysis parameters. The fault analysis index obtained according to the fault analysis parameters can comprehensively measure the degree of automatic loading fault of the automatic loader, and the larger the fault analysis index, the higher the degree of automatic loading fault. When the degree of automatic loading fault is high, an automatic alarm is issued.

[0048] The present invention discloses a fault detection system and method for an automatic loader, which can monitor the operating status of the automatic loader in real time, and adopts data analysis and feature extraction technology to extract feature information reflecting the fault, thereby improving the timeliness and accuracy of fault detection, realizing comprehensive monitoring of the operating status of the automatic loader and timely alarm of fault anomalies, improving the response speed and processing ability of maintenance personnel, providing convenience for maintenance personnel, improving maintenance efficiency, improving the operating efficiency and safety of the automatic loader, and reducing downtime and maintenance costs caused by faults. BRIEF DESCRIPTION OF THE DRAWINGS

[0049] The present invention will be further described below in conjunction with the accompanying drawings.

[0050] Figure 1 It is a principle block diagram of a fault detection system of an automatic loader in the present invention;

[0051] Figure 2 The present invention is a flowchart of a fault detection method for an automatic loader. DETAILED DESCRIPTION

[0052] The following will be combined with 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.

[0053] Embodiment 1:

[0054] See also Figure 1 As shown, this embodiment is a fault detection system for an automatic loader, comprising the following modules: a fault detection module, a fault analysis module, an analysis and judgment module, and an abnormal alarm module;

[0055] The fault detection module is used to obtain the fault analysis parameters of the automatic loader and send the fault analysis parameters to the fault analysis module; wherein the fault analysis parameters include time information SJ, vibration information ZD, noise information ZK and electrical information DQ;

[0056] The fault analysis module is used to obtain a fault analysis index GZ according to the fault analysis parameters, and send the fault analysis index GZ to the analysis and judgment module;

[0057] The analysis and judgment module is used to generate an abnormal alarm instruction according to the fault analysis index GZ, and send the abnormal alarm instruction to the abnormal alarm module;

[0058] The abnormal alarm module is used to sound an abnormal alarm bell after receiving an abnormal alarm instruction.

[0059] Embodiment 2:

[0060] See also Figure 2 As shown, this embodiment is a fault detection method for an automatic loader, comprising the following steps:

[0061] Step 1: The fault detection module obtains the fault analysis parameters of the automatic loader, wherein the fault analysis parameters include time information SJ, vibration information ZD, noise information ZK and electrical information DQ, and sends the fault analysis parameters to the fault analysis module;

[0062] Step 2: The fault analysis module obtains the fault analysis index GZ according to the fault analysis parameters, and sends the fault analysis index GZ to the analysis and judgment module;

[0063] Step 3: The analysis and judgment module generates an abnormal alarm instruction according to the fault analysis index GZ, and sends the abnormal alarm instruction to the abnormal alarm module;

[0064] Step 4: After receiving the abnormal alarm instruction, the abnormal alarm module sounds the abnormal alarm bell.

[0065] Embodiment 3:

[0066] Based on any of the above embodiments, Embodiment 3 of the present invention is a fault detection module. The function of the fault detection module is to obtain fault analysis parameters, wherein the fault analysis parameters include time information SJ, vibration information ZD, noise information ZK and electrical information DQ. The specific process is as follows:

[0067] The fault detection module obtains the time when the automatic loader receives the automatic loading instruction and the time when the automatic loading starts, obtains the time difference between the two, and marks it as the index time value ZS, obtains the time when the automatic loader starts automatic loading and the time when the automatic loading is completed, obtains the time difference between the two, and marks it as the completion time value WS, quantizes the index time value ZS and the completion time value WS, extracts the values ​​of the index time value ZS and the completion time value WS, and substitutes them into the formula for calculation, and obtains the time information SJ according to the formula SJ=s1×ZS+s2×WS, wherein s1 and s2 are respectively the preset proportional coefficients corresponding to the set index time value ZS and the completion time value WS, s1 and s2 satisfy s1+s2=1, 0<s1<s2<1, and s1=0.37 and s2=0.63;

[0068] The fault detection module obtains the total number of vibrations and the maximum vibration amplitude during the most recent automatic loading process of the automatic loader, and marks them as the vibration value ZC and the amplitude value ZF respectively, quantifies the vibration value ZC and the amplitude value ZF, extracts the values ​​of the vibration value ZC and the amplitude value ZF, and substitutes them into the formula for calculation. Obtain vibration information ZD, where d1 and d2 are preset proportional coefficients corresponding to the set vibration frequency value ZC and amplitude value ZF, respectively, d1 and d2 satisfy d1+d2=1, 0<d1<d2<1, and d1=0.39 and d2=0.61;

[0069] The fault detection module obtains the sound intensity of the noise during the most recent automatic loading process of the automatic loader, and marks it as the sound intensity value SQ, marks the maximum sound intensity value SQ as the strongest value ZQ, sets the sound intensity threshold SQy, obtains the total duration of the sound intensity value SQ ≥ the sound intensity threshold SQy, and marks it as the strong duration QS, obtains the product of the strongest value ZQ and the strong duration QS, and marks it as the noise information ZK;

[0070] The fault detection module obtains the real-time current and real-time voltage of the automatic loader during the most recent automatic loading process, and marks them as the real current value SL and the real pressure value SY respectively, marks the largest real current value SL as the maximum current value ZL, sets the maximum current threshold ZLy, obtains the total duration of the maximum current value ZL ≥ the maximum current threshold ZLy, and marks it as the flow time value LS, quantifies the maximum current value ZL and the flow time value LS, extracts the values ​​of the maximum current value ZL and the flow time value LS, and substitutes them into the formula for calculation. According to the formula The current value DL is obtained, where e is a mathematical constant, i1 and i2 are the preset proportional coefficients corresponding to the set maximum current value ZL and the current time value LS, respectively, i1 and i2 satisfy i1+i2=1, 0<i2<i1<1, i1=0.58, i2=0.42 are taken, the maximum actual pressure value SY is marked as the maximum pressure value ZY, the maximum pressure threshold ZYy is set, the total duration of the maximum pressure value ZY≥the maximum pressure threshold ZYy is obtained, and it is marked as the pressure time value YS, the maximum pressure value ZY and the pressure time value YS are quantified, the values ​​of the maximum pressure value ZY and the pressure time value YS are extracted, and they are substituted into the formula for calculation, according to the formula The voltage value DY is obtained, wherein e is a mathematical constant, u1 and u2 are respectively the preset proportional coefficients corresponding to the set maximum voltage value ZY and the voltage time value YS, u1 and u2 satisfy u1+u2=1, 0<u2<u1<1, u1=0.53, u2=0.47, and the product of the current value DL and the voltage value DY is obtained, and it is marked as electrical information DQ;

[0071] The fault detection module sends the time information SJ, the vibration information ZD, the noise information ZK and the electrical information DQ to the fault analysis module.

[0072] Embodiment 4:

[0073] Based on any of the above embodiments, Embodiment 4 of the present invention is a fault analysis module. The function of the fault analysis module is to obtain a fault analysis index GZ. The specific process is as follows:

[0074] The fault analysis module normalizes the time information SJ, vibration information ZD, noise information ZK and electrical information DQ, and quantifies the values ​​of the time information SJ, vibration information ZD, noise information ZK and electrical information DQ according to a preset fault analysis function to obtain a fault analysis index GZ, and sends the fault analysis index GZ to the analysis and judgment module;

[0075] Among them, the fault analysis function is as follows:

[0076]

[0077] Where:

[0078] λ is the preset error adjustment factor, and λ=0.942;

[0079] g1, g2, g3 and g4 are preset weight factors corresponding to the set time information SJ, vibration information ZD, noise information ZK and electrical information DQ respectively. g1, g2, g3 and g4 satisfy g2>g3>g4>g1>1.252, and g1=1.63, g2=3.03, g3=2.57, g4=1.96.

[0080] Embodiment 5:

[0081] Based on any of the above embodiments, Embodiment 5 of the present invention is an analysis and judgment module. The function of the analysis and judgment module is to generate an abnormal alarm instruction. The specific process is as follows:

[0082] The fault analysis threshold GZy is set, and the analysis and judgment module compares the fault analysis index GZ with the fault analysis threshold GZy. The comparison results are as follows:

[0083] If the fault analysis index GZ≥fault analysis threshold GZy, an abnormal alarm instruction is generated and sent to the abnormal alarm module.

[0084] Embodiment 6:

[0085] Based on any of the above embodiments, Embodiment 6 of the present invention is an abnormal alarm module, and the function of the abnormal alarm module is to sound an abnormal alarm ring after receiving an abnormal alarm instruction.

[0086] Based on Examples 1-6, the working principle of the present invention is as follows:

[0087] The present invention discloses a fault detection system and method for an automatic loader. The fault detection module obtains fault analysis parameters of the automatic loader, wherein the fault analysis parameters include time information, vibration information, noise information and electrical information. The fault analysis module obtains a fault analysis index according to the fault analysis parameters. The analysis and judgment module generates an abnormal alarm instruction according to the fault analysis index. The abnormal alarm module sounds an abnormal alarm bell after receiving the abnormal alarm instruction. The fault detection system obtains the fault analysis parameters by performing real-time detection on the automatic loader. The fault analysis index obtained according to the fault analysis parameters can comprehensively measure the automatic loading of the automatic loader. The fault degree is determined by the fault analysis index. The larger the fault analysis index is, the higher the degree of automatic loading fault is. When the degree of automatic loading fault is high, an automatic alarm is issued. The fault detection system can monitor the operating status of the automatic loader in real time. By adopting data analysis and feature extraction technology, it can extract feature information reflecting the fault, improve the timeliness and accuracy of fault detection, realize comprehensive monitoring of the operating status of the automatic loader and timely alarm of fault anomalies, improve the response speed and processing ability of maintenance personnel, provide convenience for maintenance personnel, improve maintenance efficiency, improve the operating efficiency and safety of the automatic loader, and reduce downtime and maintenance costs caused by faults.

[0088] It should be further explained that the above formulas are all dimensionless and numerical calculations. The formula is a formula for the most recent real situation obtained by collecting a large amount of data and performing software simulation. The preset parameters in the formula are set by technicians in this field according to actual conditions.

[0089] In the description of this specification, the description with reference to the terms "one embodiment", "example", "specific example", etc. means that the specific features, structures, materials or characteristics described in conjunction with the embodiment or example are included in at least one embodiment or example of the present invention. In this specification, the schematic representation of the above terms does not necessarily refer to the same embodiment or example. Moreover, the specific features, structures, materials or characteristics described can be combined in any one or more embodiments or examples in a suitable manner.

[0090] The above contents are merely examples and explanations 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 invention or exceed the scope defined by the claims, they shall all fall within the protection scope of the present invention.

Claims

1. A fault detection system for an automatic loader, characterized in that: include: A fault analysis module is used to obtain a fault analysis index GZ according to the fault analysis parameters, and send the fault analysis index GZ to the analysis and judgment module; The specific process of the fault analysis module obtaining the fault analysis index GZ is as follows: Normalize the time information SJ, vibration information ZD, noise information ZK and electrical information DQ, and quantize the values ​​of the time information SJ, vibration information ZD, noise information ZK and electrical information DQ according to a preset fault analysis function to obtain a fault analysis index GZ; An analysis and judgment module is used to generate an abnormal alarm instruction according to the fault analysis index GZ, and send the abnormal alarm instruction to the abnormal alarm module; The abnormal alarm module is used to sound an abnormal alarm bell after receiving an abnormal alarm instruction.

2. A fault detection system for an automatic loader according to claim 1, characterized in that: The fault analysis function is as follows: Where: λ is the preset error adjustment factor; g1, g2, g3 and g4 are preset weight factors corresponding to the set time information SJ, vibration information ZD, noise information ZK and electrical information DQ respectively.

3. A fault detection system for an automatic loader according to claim 1, characterized in that: Also includes: The fault detection module is used to obtain the fault analysis parameters of the automatic loader and send the fault analysis parameters to the fault analysis module; wherein the fault analysis parameters include time information SJ, vibration information ZD, noise information ZK and electrical information DQ.

4. A fault detection system for an automatic loader according to claim 3, characterized in that: The specific process of the fault detection module obtaining the time information SJ is as follows: The time when the automatic loader receives the automatic loading instruction and the time when the automatic loading starts are obtained, the time difference between the two is obtained, and it is marked as the index time value ZS; the time when the automatic loader starts automatic loading and the time when the automatic loading is completed are obtained, the time difference between the two is obtained, and it is marked as the completion time value WS; the index time value ZS and the completion time value WS are quantized, and the time information SJ is obtained according to the formula SJ=s1×ZS+s2×WS, wherein s1 and s2 are the preset proportional coefficients corresponding to the set index time value ZS and the completion time value WS, respectively.

5. The fault detection system of an automatic loader according to claim 3, characterized in that: The specific process of the fault detection module obtaining vibration information ZD is as follows: Get the total number of vibrations and the maximum vibration amplitude of the automatic loader during the most recent automatic loading process, and mark them as the vibration value ZC and the amplitude value ZF respectively. Quantify the vibration value ZC and the amplitude value ZF according to the formula The vibration information ZD is obtained, wherein d1 and d2 are preset proportional coefficients corresponding to the set vibration frequency value ZC and amplitude value ZF respectively.

6. A fault detection system for an automatic loader according to claim 3, characterized in that: The specific process of the fault detection module obtaining the noise information ZK is as follows: Get the sound intensity of the noise during the most recent automatic loading process of the automatic loader, and mark it as the sound intensity value SQ, mark the maximum sound intensity value SQ as the strongest value ZQ, set the sound intensity threshold SQy, get the total duration of the sound intensity value SQ ≥ the sound intensity threshold SQy, and mark it as the strong duration QS, get the product of the strongest value ZQ and the strong duration QS, and mark it as the noise information ZK.

7. A fault detection system for an automatic loader according to claim 3, characterized in that: The specific process of the fault detection module acquiring electrical information DQ is as follows: The product of the current value DL and the voltage value DY is obtained and marked as electrical information DQ.

8. A fault detection system for an automatic loader according to claim 7, characterized in that: The specific process of obtaining the current value DL is as follows: Get the real-time current of the most recent automatic loading process of the automatic loader, and mark it as the real current value SL, mark the maximum real current value SL as the maximum current value ZL, set the maximum current threshold ZLy, get the total duration of the maximum current value ZL ≥ the maximum current threshold ZLy, and mark it as the current time value LS, quantify the maximum current value ZL and the current time value LS, and use the formula The current value DL is obtained, wherein e is a mathematical constant, and i1 and i2 are preset proportional coefficients corresponding to the set maximum current value ZL and current time value LS respectively.

9. A fault detection system for an automatic loader according to claim 7, characterized in that: The specific process of obtaining the voltage value DY is as follows: Get the real-time voltage of the automatic loader during the most recent automatic loading process, and mark it as the actual pressure value SY, mark the maximum actual pressure value SY as the maximum pressure value ZY, set the maximum pressure threshold ZYy, get the total duration of the maximum pressure value ZY ≥ the maximum pressure threshold ZYy, and mark it as the pressure time value YS, quantify the maximum pressure value ZY and the pressure time value YS, according to the formula The voltage value DY is obtained, wherein e is a mathematical constant, and u1 and u2 are preset proportional coefficients corresponding to the set maximum voltage value ZY and the voltage time value YS respectively.

10. A fault detection method for an automatic loader, characterized in that: The following steps are involved: Step 1: The fault detection module obtains the fault analysis parameters of the automatic loader, wherein the fault analysis parameters include time information SJ, vibration information ZD, noise information ZK and electrical information DQ, and sends the fault analysis parameters to the fault analysis module; Step 2: The fault analysis module obtains the fault analysis index GZ according to the fault analysis parameters, and sends the fault analysis index GZ to the analysis and judgment module; Step 3: The analysis and judgment module generates an abnormal alarm instruction according to the fault analysis index GZ, and sends the abnormal alarm instruction to the abnormal alarm module; Step 4: After receiving the abnormal alarm instruction, the abnormal alarm module sounds the abnormal alarm bell.

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