Intelligent fault detection system for HPLC and HRF dual-mode communication unit

Abstract

The invention discloses an intelligent fault detection system for an HPLC and HRF dual-mode communication unit, and relates to the technical field of communication fault detection, the intelligent fault detection system comprises a data acquisition module, a data processing and fault evaluation module and an intelligent decision module, the data acquisition module is used for collecting fault detection data related to fault detection of an HPLC communication unit and an HRF communication unit, and the data processing and fault evaluation module is used for evaluating the fault detection data. The data processing and fault evaluation module detects the data according to the fault; acquiring preliminary fault risk information including a first communication preliminary fault risk value and a second communication preliminary fault risk value, comprising dynamic fault risk information including a first communication dynamic fault risk value and a second communication dynamic fault risk value, and comprehensive fault risk information including a first communication comprehensive fault risk value and a second communication comprehensive fault risk value; according to the method, multiple factors are comprehensively considered, historical data are combined, fault features under different weather conditions are considered, and fault risk assessment is dynamically adjusted in real time.

Description

TECHNICAL FIELD

[0001] The application relates to the technical field of communication fault detection, in particular to an intelligent fault detection system for an HPLC and HRF dual-mode communication unit. BACKGROUND

[0002] In many fields such as power system communication and industrial automation control, an HPLC (high-speed power line carrier) and HRF (high-frequency radio frequency) dual-mode communication unit is widely used. The HPLC uses a power line for data transmission and has the advantages of wide coverage and no need for additional wiring. The HRF transmits data through a wireless radio frequency signal and has the characteristics of high flexibility and fast transmission speed. The dual-mode communication combines the advantages of the two and can improve the reliability and stability of communication.

[0003] During actual operation, the communication unit is affected by various factors, including weather changes, power load fluctuations and equipment aging. These factors can also cause communication failures.

[0004] Based on the above reasons and the application of the existing fault detection system, it should be noted that first, the existing fault detection technology usually only considers a single factor and ignores the comprehensive influence of other factors. In particular, external factors such as temperature and weather conditions are not included in the consideration range of fault detection when the weather is bad, resulting in inaccurate fault prediction.

[0005] Among them, part of the existing technology only relies on real-time data for fault detection and does not fully utilize historical fault data. At the same time, if the existing technology does not update the data in real time, it cannot timely reflect the latest state of the communication unit, resulting in poor timeliness of fault detection.

[0006] In addition, different weather conditions have different effects on the HPLC and HRF dual-mode communication unit, but the existing technology may not perform differentiated fault detection for different weather conditions, resulting in the inability to accurately identify fault risks under different weather conditions. SUMMARY

[0007] The purpose of the present application is to provide an intelligent fault detection system for an HPLC and HRF dual-mode communication unit, which solves the problems raised in the background art.

[0008] To achieve the above purpose, the present application provides the following technical solution, which includes a data acquisition module, a data processing and fault evaluation module, and an intelligent decision module.

[0009] The specific implementation steps are as follows:

[0010] Step one, the data collection module is used for collecting fault detection data related to HPLC communication unit and HRF communication unit fault detection, including weather information, environmental temperature information, power load information, chip temperature information, historical fault information and communication quality information, and transmitting to the data processing and fault evaluation module;

[0011] Step two, the data processing and fault evaluation module receives the fault detection data;

[0012] The weight information of the pre-set weight value rule is extracted from the data processing and fault evaluation module;

[0013] According to the weather information, the environmental temperature information, the power load information, the chip temperature information and the weight information, the preliminary fault risk information including the first communication preliminary fault risk value and the second communication preliminary fault risk value is obtained respectively;

[0014] According to the preliminary fault risk information, the historical fault information and the weight information, the dynamic fault risk information including the first communication dynamic fault risk value and the second communication dynamic fault risk value is obtained respectively;

[0015] According to the dynamic fault risk information, the communication quality information and the weight information, the comprehensive fault risk information including the first communication comprehensive fault risk value and the second communication comprehensive fault risk value is obtained respectively, and transmitted to the intelligent decision module;

[0016] Step three, the intelligent decision module receives the comprehensive fault risk information;

[0017] The first communication comprehensive fault risk value and the second communication comprehensive fault risk value are compared, and the next stage communication decision is made according to the comparison result.

[0018] Optionally, the data collection module includes weather data collection unit, power load data collection unit, chip temperature collection unit, historical fault collection unit and real-time communication quality collection unit;

[0019] The weather data collection unit is used for collecting the weather information and environmental temperature information, and is obtained by monitoring of meteorological station;

[0020] The power load data collection unit is used for collecting the power load information, and is obtained by monitoring of power sensor installed on the power supply line of the HPLC communication unit and the HRF communication unit;

[0021] The chip temperature acquisition unit is configured to collect the chip temperature information and acquire the temperature by using a temperature sensor installed on a power supply line of the HPLC communication unit and the HRF communication unit.

[0022] The historical fault acquisition unit is configured to collect the historical fault information and acquire the historical fault information by using a fault record database.

[0023] The real-time communication quality acquisition unit is configured to collect the communication quality information and acquire the communication quality information by using a signal strength detector and a bit error rate tester.

[0024] The data processing and fault evaluation module includes a basic fault risk evaluation unit, a dynamic fault risk evaluation unit and a comprehensive fault risk evaluation unit.

[0025] Optionally, the weather information includes a predicted weather condition and a weather condition influence coefficient set according to a weather setting rule.

[0026] The weather setting rule is specifically as follows:

[0027] If the predicted weather condition is sunny, the weather condition influence coefficient is set to 1.

[0028] If the predicted weather condition is rainy, the weather condition influence coefficient is set to 1.5.

[0029] If the predicted weather condition is snowy, the weather condition influence coefficient is set to 1.3.

[0030] The environment temperature information includes a predicted environment temperature value and an environment temperature influence coefficient set according to an environment temperature setting rule.

[0031] The environment temperature setting rule is specifically as follows:

[0032] If the predicted environment temperature value is in a range of 20-25℃, the environment temperature influence coefficient is set to 1.

[0033] If the predicted environment temperature value is greater than 35°, the environment temperature influence coefficient is set to 1.3.

[0034] If the predicted environment temperature value is less than 0°, the environment temperature influence coefficient is set to 1.2.

[0035] Optionally, the weight information includes a first weight, a second weight, a third weight, a fourth weight, a fifth weight, a sixth weight and a seventh weight.

[0036] Optionally, the first weight is multiplied by the environmental temperature influence coefficient to obtain a first influence value reflecting the influence degree of the environmental temperature on the communication infrastructure failure risk;

[0037] The second weight is multiplied by the weather condition influence coefficient to obtain a second influence value reflecting the influence degree of the weather condition on the communication infrastructure failure risk;

[0038] The first influence value and the second influence value are added to obtain an external characteristic influence value reflecting the influence degree of the environmental temperature and the weather condition on the communication infrastructure failure risk;

[0039] The third weight is multiplied by the chip temperature information to obtain a third influence value reflecting the additional influence of the chip temperature change on the communication infrastructure failure risk;

[0040] The power consumption load information is multiplied by the fourth weight to obtain a fourth influence value reflecting the influence of the power consumption load on the communication infrastructure failure risk;

[0041] The third influence value is multiplied by the external characteristic influence value, and then the fourth influence value is added to obtain preliminary failure risk information;

[0042] The chip temperature information includes a first temperature change rate reflecting the HPLC communication unit and a second temperature change rate reflecting the HRF communication unit;

[0043] The power consumption load information includes a first communication load monitored and obtained for the HPLC communication unit and a second communication load monitored and obtained for the HRF communication unit;

[0044] The first communication preliminary failure risk value is obtained according to the external characteristic influence value, the third weight, the first temperature change rate, the fourth weight, and the first communication load;

[0045] The second communication preliminary failure risk value is obtained according to the external characteristic influence value, the third weight, the second temperature change rate, the fourth weight, and the second communication load.

[0046] Optionally, in addition to the first temperature change rate and the second temperature change rate, the chip temperature information further includes a first chip normal working temperature, a second chip normal working temperature, a first chip current working temperature, and a second chip current working temperature;

[0047] The first temperature change rate is obtained according to the first chip normal working temperature and the first chip current working temperature;

[0048] The second temperature change rate is obtained according to the second chip normal working temperature and the second chip current working temperature.

[0049] Optionally, the historical failure information comprises a recent total failure rate group and a same-weather failure rate group;

[0050] The fifth weight is multiplied by the total failure rate group to obtain a first failure influence value reflecting the influence of the recent failure history of the communication on the current failure risk;

[0051] The sixth weight is multiplied by the same-weather failure rate group to obtain a second failure influence value reflecting the specific influence on the failure risk under the current same-weather condition;

[0052] The first failure influence value is added to the second failure influence value to obtain a comprehensive failure influence value considering the influence of the total failure history and the failure history under the current weather condition on the failure risk of the communication;

[0053] The preliminary failure risk information is multiplied by the comprehensive failure influence value to obtain the dynamic failure risk information;

[0054] The total failure rate group comprises a first total failure rate reflecting the HPLC communication unit and a second total failure rate reflecting the HRF communication unit;

[0055] The same-weather failure rate group comprises a first same-weather failure rate reflecting the HPLC communication unit and a second same-weather failure rate reflecting the HRF communication unit;

[0056] The first communication dynamic failure risk value is obtained according to the first communication preliminary failure risk value, the fifth weight, the first total failure rate, the sixth weight and the first same-weather failure rate;

[0057] The second communication dynamic failure risk value is obtained according to the second communication preliminary failure risk value, the fifth weight, the second total failure rate, the sixth weight and the second same-weather failure rate.

[0058] Optionally, the communication quality information comprises a first signal strength, a second signal strength, a first bit error rate and a second bit error rate;

[0059] A first communication quality coefficient is obtained according to the first signal strength and the first bit error rate;

[0060] A second communication quality coefficient is obtained according to the second signal strength and the second bit error rate;

[0061] A correction coefficient is obtained according to the seventh weight, the first communication quality coefficient and the second communication quality coefficient, for correcting the comprehensive failure risk according to the real-time communication quality;

[0062] multiply the correction coefficient by the dynamic fault risk information to obtain the comprehensive fault risk information;

[0063] The first communication comprehensive fault risk value is obtained according to the first communication dynamic fault risk value, the first communication quality coefficient and the seventh weight.

[0064] The second communication comprehensive fault risk value is obtained according to the second communication dynamic fault risk value, the second communication quality coefficient and the seventh weight.

[0065] Optionally, the comparison result includes that the first communication comprehensive fault risk value is greater than the second communication comprehensive fault risk value, the first communication comprehensive fault risk value is less than the second communication comprehensive fault risk value and the first communication comprehensive fault risk value is equal to the second communication comprehensive fault risk value.

[0066] Based on the comparison result and the decision of the next stage communication is as follows:

[0067] If the first communication comprehensive fault risk value is greater than the second communication comprehensive fault risk value, the HRF communication unit is intelligently selected for the next stage communication.

[0068] If the first communication comprehensive fault risk value is less than the second communication comprehensive fault risk value, the HPLC communication unit is intelligently selected for the next stage communication.

[0069] If the first communication comprehensive fault risk value is equal to the second communication comprehensive fault risk value, the HRF communication unit is intelligently selected for the next stage communication.

[0070] Compared with the prior art, the present application has the following advantages:

[0071] Firstly, the data acquisition module of the present application comprehensively considers and acquires various factors including weather information, environmental temperature information, power load information, chip temperature information, historical fault information and communication quality information, and in the data processing and fault evaluation module, the HPLC communication unit and the HRF communication unit are respectively evaluated in terms of preliminary, dynamic and comprehensive risk by reasonably setting weight information, thereby obtaining preliminary fault risk information, dynamic fault risk information and comprehensive fault risk information.

[0072] The preliminary fault risk information considers the influence of environmental temperature, weather condition, power load and chip temperature change, and this multi-factor comprehensive evaluation method solves the problem of incomplete consideration of single factor in the prior art and can more accurately predict the basic fault risk of the communication unit.

[0073] The dynamic fault risk information is based on the preliminary fault risk information, and combines historical faults including the total fault rate group and the same-weather fault rate group, so as to more comprehensively evaluate the comprehensive fault risk of the communication unit, which solves the problem of lack of combination of historical data and real-time data in the prior art, and can improve the accuracy of fault prediction by using historical fault rules.

[0074] The comprehensive fault risk information comprehensively considers the signal strength and the bit error rate, and reflects the real-time communication quality of the communication unit, so that the latest state of the communication unit can be timely reflected by the real-time dynamic adjustment, and the problems of poor timeliness and low accuracy of fault detection in the prior art are solved.

[0075] Secondly, in the process of obtaining the preliminary fault risk information, the influence of different weather conditions on the basic fault risk is considered, and in the process of obtaining the dynamic fault risk information, the fault frequency under the same weather condition is further considered by introducing the same-weather fault rate group, so that the fault characteristics under different weather conditions are not considered in the prior art, and the fault hidden danger under different weather conditions can be more accurately identified. BRIEF DESCRIPTION OF DRAWINGS

[0076] Fig. 1 The method flowchart of the intelligent fault detection system of the dual-mode communication unit is shown in the figure.

[0077] Fig. 2 The collection schematic diagram of the data collection module in the present application is shown in the figure. DETAILED DESCRIPTION

[0078] The technical solutions in the embodiments of the present application will be clearly and completely described in the embodiments of the present application combined with the accompanying drawings, obviously, the described embodiments are only part of the embodiments of the present application, not all the embodiments. Based on the embodiments in the present application, all other embodiments obtained by those skilled in the art without creative labor are within the scope of protection of the present application.

[0079] The intelligent fault detection system of the dual-mode communication unit is different from the existing intelligent fault detection system of the dual-mode communication unit.

[0080] The existing intelligent fault detection system of the dual-mode communication unit has the problems of single factor consideration, lack of combination of historical data and real-time data, and failure to consider the fault characteristics under different weather conditions, while the algorithm unit of the present application comprehensively evaluates the fault risk by considering multiple factors, and further combines historical data and real-time data and considers the fault characteristics under different weather conditions, so as to dynamically adjust the fault risk evaluation.

[0081] Embodiment one, please refer toFigs. 1-2 The embodiment provides an intelligent fault detection system for a HPLC and HRF dual-mode communication unit, which comprises a data acquisition module, a data processing and fault evaluation module and an intelligent decision module.

[0082] The specific implementation steps are as follows:

[0083] Step one, the data acquisition module is used for collecting fault detection data related to the fault detection of the HPLC communication unit and the HRF communication unit, including weather information, environmental temperature information, power load information, chip temperature information, historical fault information and communication quality information, and transmitting the data to the data processing and fault evaluation module.

[0084] Step two, the data processing and fault evaluation module receives the fault detection data.

[0085] The weight information of the pre-set weight value rule is extracted from the data processing and fault evaluation module, and the weight information includes the first weight, the second weight, the third weight, the fourth weight, the fifth weight, the sixth weight and the seventh weight.

[0086] According to the weather information, the environmental temperature information, the power load information, the chip temperature information and the weight information, the preliminary fault risk information including the first communication preliminary fault risk value and the second communication preliminary fault risk value is obtained.

[0087] According to the preliminary fault risk information, the historical fault information and the weight information, the dynamic fault risk information including the first communication dynamic fault risk value and the second communication dynamic fault risk value is obtained.

[0088] According to the dynamic fault risk information, the communication quality information and the weight information, the comprehensive fault risk information including the first communication comprehensive fault risk value and the second communication comprehensive fault risk value is obtained, and the information is transmitted to the intelligent decision module.

[0089] Step three, the intelligent decision module receives the comprehensive fault risk information.

[0090] The first communication comprehensive fault risk value and the second communication comprehensive fault risk value are compared, and the next stage communication decision is made according to the comparison result.

[0091] The data acquisition module comprises a weather data acquisition unit, a power load data acquisition unit, a chip temperature acquisition unit, a historical fault acquisition unit and a real-time communication quality acquisition unit.

[0092] The weather data acquisition unit is used for collecting weather information and environmental temperature information, and the information is obtained by using the monitoring of a meteorological station.

[0093] The power consumption load data acquisition unit is used to collect power consumption load information and is monitored and acquired by using a power sensor installed on a power supply line of the HPLC communication unit and the HRF communication unit;

[0094] The chip temperature acquisition unit is used to collect chip temperature information and is acquired by using a temperature sensor installed on a power supply line of the HPLC communication unit and the HRF communication unit;

[0095] The historical fault acquisition unit is used to collect historical fault information and is acquired by using a fault record database;

[0096] The real-time communication quality acquisition unit is used to collect communication quality information and is acquired by using a signal strength detector and a bit error rate tester;

[0097] The data processing and fault evaluation module includes a basic fault risk evaluation unit, a dynamic fault risk evaluation unit and a comprehensive fault risk evaluation unit.

[0098] In the embodiment, the system reaches steps 1 to 3 through the data acquisition module, the data processing and fault evaluation module and the intelligent decision module, thereby accurately evaluating the fault risk of the HPLC and HRF dual-mode communication units, selecting the communication unit with lower fault risk for communication according to the evaluation result, improving the reliability and stability of the communication system and achieving the purpose of intelligent fault detection and prevention.

[0099] Please refer to Figs. 1-2 , the weather information includes a predicted weather condition and a weather condition influence coefficient set according to a weather setting rule;

[0100] The weather setting rule is specifically as follows:

[0101] If the predicted weather condition is sunny, the weather condition influence coefficient is set to 1;

[0102] If the predicted weather condition is rainy, the weather condition influence coefficient is set to 1.5;

[0103] If the predicted weather condition is snowy, the weather condition influence coefficient is set to 1.3;

[0104] The environmental temperature information includes a predicted environmental temperature value and an environmental temperature influence coefficient set according to an environmental temperature setting rule;

[0105] The environmental temperature setting rule is specifically as follows:

[0106] If the predicted environmental temperature value is in the interval of 20-25℃, the environmental temperature influence coefficient is set to 1;

[0107] If the predicted ambient temperature value is greater than 35°, the ambient temperature influence coefficient is set to 1.3;

[0108] If the predicted ambient temperature value is less than 0°, the ambient temperature influence coefficient is set to 1.2.

[0109] The first weight is multiplied by the ambient temperature influence coefficient to obtain a first influence value reflecting the influence degree of the ambient temperature on the communication infrastructure failure risk;

[0110] The second weight is multiplied by the weather condition influence coefficient to obtain a second influence value reflecting the influence degree of the weather condition on the communication infrastructure failure risk;

[0111] The first influence value and the second influence value are added to obtain an external feature influence value reflecting the influence degree of the comprehensive ambient temperature and weather condition on the communication infrastructure failure risk;

[0112] The third weight is multiplied by the chip temperature information to obtain a third influence value reflecting the additional influence of the chip temperature change on the communication infrastructure failure risk;

[0113] The power load information is multiplied by the fourth weight to obtain a fourth influence value reflecting the influence of the power load on the communication infrastructure failure risk;

[0114] The third influence value is multiplied by the external feature influence value, and then the fourth influence value is added to obtain preliminary failure risk information;

[0115] The chip temperature information includes a first temperature change rate reflecting the HPLC communication unit and a second temperature change rate reflecting the HRF communication unit;

[0116] The power load information includes a first communication load monitored and obtained for the HPLC communication unit and a second communication load monitored and obtained for the HRF communication unit;

[0117] The first communication preliminary failure risk value is obtained according to the external feature influence value, the third weight, the first temperature change rate, the fourth weight, and the first communication load;

[0118] The second communication preliminary failure risk value is obtained according to the external feature influence value, the third weight, the second temperature change rate, the fourth weight, and the second communication load.

[0119] In the present embodiment, the calculation formulas of the first communication preliminary failure risk value and the second communication preliminary failure risk value are as follows, respectively:

[0120] FX 1 HPLC = (q1 × W + q2 × TQ) × (1 + q3 × ΔB HPLC ) + q4 × F HPLC ;

[0121] FX 1 HPF = (q1xW+q2xTQ)x(1+q3xAB HRF )+q4xF HRF ;

[0122] wherein:

[0123] FX1 HPLC is a first communication preliminary failure risk value, FX1 HRF is a second communication preliminary failure risk value;

[0124] W is an ambient temperature influence coefficient;

[0125] TQ is a weather condition influence coefficient;

[0126] AB HPLC is a first temperature change rate, AB HRF is a second temperature change rate;

[0127] F HPLC is a first communication load, F HRF is a second communication load;

[0128] q1 is a first weight, q2 is a second weight, q3 is a third weight, and q4 is a fourth weight;

[0129] A calculation result of q1xW is a first influence value;

[0130] A calculation result of q2xTQ is a second influence value;

[0131] A calculation result of (q1xW+q2xTQ) is an external characteristic influence value;

[0132] A calculation result of (1+q3xAB HPLC ) and (1+q3xAB HRF ) is a third influence value;

[0133] A calculation result of q4xF HPLC and q4xF HRF is a fourth influence value.

[0134] In actual applications, weather and temperature can affect the performance of electronic components and signal transmission, and an excessively high power load can increase the pressure of equipment, and abnormal chip temperature can also affect the stability of the communication unit. The first communication preliminary failure risk value and the second communication preliminary failure risk value can respectively comprehensively evaluate the basic failure risk of the communication unit under the current environment and load by comprehensively considering these factors.

[0135] In addition to the first temperature change rate and the second temperature change rate, the chip temperature information further includes a first chip normal working temperature, a second chip normal working temperature, a first chip current working temperature, and a second chip current working temperature;

[0136] The first temperature change rate is obtained according to the first chip normal working temperature and the first chip current working temperature;

[0137] The second temperature change rate is obtained according to the second chip normal working temperature and the second chip current working temperature.

[0138] The specific calculation formulae of the first temperature change rate and the second temperature change rate are as follows:

[0139]

[0140] WD1 now WD2 now WD10

[0141] Please refer to Figs. 1-2 The historical fault information includes a recent total fault rate group and a same-weather fault rate group;

[0142] The fifth weight is multiplied by the total fault rate group to obtain a first fault influence value of the influence of the recent fault history of the communication on the current fault risk;

[0143] The sixth weight is multiplied by the same-weather fault rate group to obtain a second fault influence value of the specific influence on the fault risk under the current same-weather condition;

[0144] The first fault influence value is added to the second fault influence value to obtain a comprehensive fault influence value of the influence of the total fault history and the fault history under the current weather condition of the communication on the fault risk;

[0145] The preliminary fault risk information is multiplied by the comprehensive fault influence value to obtain dynamic fault risk information;

[0146] The total fault rate group includes a first total fault rate reflecting the HPLC communication unit and a second total fault rate reflecting the HRF communication unit;

[0147] The same-weather fault rate group includes a first same-weather fault rate reflecting the HPLC communication unit and a second same-weather fault rate reflecting the HRF communication unit;

[0148] The first communication dynamic fault risk value is obtained according to the first communication preliminary fault risk value, the fifth weight, the first total fault rate, the sixth weight, and the first same-weather fault rate.

[0149] The second communication dynamic failure risk value is obtained according to the second communication preliminary failure risk value, the fifth weight, the second total failure rate, the sixth weight and the second same-weather failure rate.

[0150] In the embodiment, the calculation formulas of the first communication dynamic failure risk value and the second communication dynamic failure risk value are as follows respectively:

[0151] FX 2 HPLC =FX 1 HPLC ×(1+q5×ZG HPLC +q6×TG HPLC );

[0152] FX 2 HRF =FX 1 HRF ×(1+q5×ZG HRF +q6×TG HRF );

[0153] Wherein:

[0154] FX2 HPLC is the first communication dynamic failure risk value, and FX2 HRF is the second communication dynamic failure risk value;

[0155] ZG HPLC is the first total failure rate, and ZG HRF is the second total failure rate;

[0156] TG HPLC is the first same-weather failure rate, and TG HRF is the second same-weather failure rate;

[0157] q5 is the fifth weight, and q6 is the sixth weight;

[0158] The calculation results of q5×ZG HPLC and q5×ZG HRF are both the first failure influence value;

[0159] The calculation results of q6×TG HRF and q6×TG HPLC are both the second failure influence value;

[0160] The calculation results of (1+q5×ZG HPLC +q6×TG HPLC ) and (1+q5×ZG HRF +q6×TG HRF ) are both the comprehensive failure influence value;

[0161] It is worth noting that by separately considering the second failure influence value under the same weather, the specific influence of different weather conditions on the failure risk is highlighted, and the influence of different weather on the communication unit is quite different, and such setting enables the system to make more accurate failure risk assessment for different weather conditions, and improves the accuracy of failure prediction.

[0162] Please refer to Figs. 1-2 , the communication quality information includes the first signal strength, the second signal strength, the first error rate and the second error rate;

[0163] According to the first signal strength and the first error rate, a first communication quality coefficient is obtained;

[0164] According to the second signal strength and the second error rate, a second communication quality coefficient is obtained;

[0165] According to the seventh weight, the first communication quality coefficient and the second communication quality coefficient, a correction coefficient for correcting the comprehensive failure risk according to the real-time communication quality is obtained;

[0166] The correction coefficient is multiplied by the dynamic failure risk information to obtain the comprehensive failure risk information;

[0167] Among them, the first communication comprehensive failure risk value is obtained according to the first communication dynamic failure risk value, the first communication quality coefficient and the seventh weight;

[0168] The second communication comprehensive failure risk value is obtained according to the second communication dynamic failure risk value, the second communication quality coefficient and the seventh weight.

[0169] In this embodiment: the calculation formula of the first communication comprehensive failure risk value and the second communication comprehensive failure risk value is as follows:

[0170] FX 3 HPLC = FX 2 HPLC ×(1-q7×TXZ HPLC );

[0171] FX 3 HRF = FX 2 HRF ×(1-q7×TXZ HRF );

[0172] Among them:

[0173] FX3 HPLC is the first communication comprehensive failure risk value, FX3 HRF is the second communication comprehensive failure risk value;

[0174] TXZHPLC is a first communication quality coefficient, TXZ HRF is a second communication quality coefficient;

[0175] q7 is a seventh weight;

[0176] (1-q7xTXZ HPLC ) and (1-q7xTXZ HRF ) are both correction coefficients.

[0177] In the second embodiment, please refer to Figs. 1-2 The comparison result includes that the first communication comprehensive failure risk value is greater than the second communication comprehensive failure risk value, the first communication comprehensive failure risk value is less than the second communication comprehensive failure risk value, and the first communication comprehensive failure risk value is equal to the second communication comprehensive failure risk value.

[0178] Based on the comparison result and the decision of the next stage communication is as follows:

[0179] If the first communication comprehensive failure risk value is greater than the second communication comprehensive failure risk value, the next stage communication intelligently selects the HRF communication unit.

[0180] If the first communication comprehensive failure risk value is less than the second communication comprehensive failure risk value, the next stage communication intelligently selects the HPLC communication unit.

[0181] If the first communication comprehensive failure risk value is equal to the second communication comprehensive failure risk value, the next stage communication intelligently selects the HRF communication unit.

[0182] In this embodiment, by comparing the size of the first communication comprehensive failure risk value FX3 HPLC and the second communication comprehensive failure risk value FX3 HRF , the system can select the communication unit with lower failure risk to communicate, and in different environments and working conditions, the performance of the HPLC communication unit and the HRF communication unit is different, and the first communication comprehensive failure risk value FX3 HPLC and the second communication comprehensive failure risk value FX3 HRF evaluated by the real-time dynamic evaluation can provide accurate basis for the selection of the communication unit, and improve the reliability and stability of the communication system.

[0183] Although the embodiments of the present application have been shown and described, it can be understood by those skilled in the art that various changes, modifications, replacements and variations can be made to the embodiments without departing from the principles and spirits of the present application, and the scope of the present application is defined by the appended claims and their equivalents.

Claims

1. A HPLC and HRF dual mode communication unit intelligent fault detection system characterized by, The system comprises a data collection module, a data processing and fault evaluation module, and an intelligent decision module. The specific implementation steps are as follows: Step one, the data collection module is used to collect fault detection data related to HPLC communication unit and HRF communication unit fault detection, including weather information, environmental temperature information, power load information, chip temperature information, historical fault information and communication quality information, and transmit to the data processing and fault evaluation module; Step two, the data processing and fault evaluation module receives the fault detection data; From the data processing and fault evaluation module, the weight information of the pre-set weight value rule is extracted; According to the weather information, the environmental temperature information, the power load information, the chip temperature information and the weight information, the preliminary fault risk information including the first communication preliminary fault risk value and the second communication preliminary fault risk value is obtained respectively; According to the preliminary fault risk information, the historical fault information and the weight information, the dynamic fault risk information including the first communication dynamic fault risk value and the second communication dynamic fault risk value is obtained respectively; According to the dynamic fault risk information, the communication quality information and the weight information, the comprehensive fault risk information including the first communication comprehensive fault risk value and the second communication comprehensive fault risk value is obtained respectively, and is transmitted to the intelligent decision module; Step three, the intelligent decision module receives the comprehensive fault risk information; The first communication comprehensive fault risk value and the second communication comprehensive fault risk value are compared, and the next stage communication decision is made according to the comparison result.

2. The HPLC and HRF dual-mode communication unit intelligent fault detection system according to claim 1, characterized in that: The data collection module comprises a weather data collection unit, a power load data collection unit, a chip temperature collection unit, a historical fault collection unit and a real-time communication quality collection unit; The weather data collection unit is used to collect the weather information and environmental temperature information, and is obtained by monitoring of a meteorological station; The power load data collection unit is used to collect the power load information, and is obtained by monitoring of a power sensor installed on the power supply line of the HPLC communication unit and the HRF communication unit; The chip temperature collection unit is used to collect the chip temperature information, and is obtained by a temperature sensor installed on the power supply line of the HPLC communication unit and the HRF communication unit; The historical fault collection unit is used to collect the historical fault information, and is obtained by a fault record database; The real-time communication quality collection unit is used to collect the communication quality information, and is obtained by a signal strength detector and a bit error rate tester; The data processing and fault evaluation module comprises a basic fault risk evaluation unit, a dynamic fault risk evaluation unit and a comprehensive fault risk evaluation unit.

3. The intelligent fault detection system for HPLC and HRF dual-mode communication unit according to claim 2, characterized in that: The weather information includes predicted weather conditions and weather condition influence coefficients set according to weather setting rules; The weather setting rules are as follows: If the predicted weather condition is sunny, the weather condition influence coefficient is set to 1; If the predicted weather condition is rainy, the weather condition influence coefficient is set to 1.5; If the predicted weather condition is snowy, the weather condition influence coefficient is set to 1.3; The ambient temperature information includes a predicted ambient temperature value and an ambient temperature influence coefficient set according to an ambient temperature setting rule; The ambient temperature setting rule is specifically as follows: If the predicted ambient temperature value is in the range of 20-25℃, the ambient temperature influence coefficient is set to 1; If the predicted ambient temperature value is greater than 35℃, the ambient temperature influence coefficient is set to 1.3; If the predicted ambient temperature value is less than 0℃, the ambient temperature influence coefficient is set to 1.

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4. The intelligent fault detection system for HPLC and HRF dual-mode communication unit according to claim 3, characterized in that: The weight information includes a first weight, a second weight, a third weight, a fourth weight, a fifth weight, a sixth weight and a seventh weight.

5. The intelligent fault detection system for HPLC and HRF dual mode communication unit according to claim 4, wherein: The first weight is multiplied by the ambient temperature influence coefficient to obtain a first influence value; The second weight is multiplied by the weather condition influence coefficient to obtain a second influence value; The first influence value and the second influence value are added to obtain an external feature influence value; The third weight is multiplied by the chip temperature information to obtain a third influence value; The power consumption load information is multiplied by the fourth weight to obtain a fourth influence value; The third influence value is multiplied by the external feature influence value, and the fourth influence value is added to obtain preliminary fault risk information; The chip temperature information includes a first temperature change rate of the HPLC communication unit and a second temperature change rate of the HRF communication unit; The power consumption load information includes a first communication load monitored and obtained for the HPLC communication unit and a second communication load monitored and obtained for the HRF communication unit; The first communication preliminary fault risk value is obtained according to the external feature influence value, the third weight, the first temperature change rate, the fourth weight and the first communication load; The second communication preliminary fault risk value is obtained according to the external feature influence value, the third weight, the second temperature change rate, the fourth weight and the second communication load.

6. The intelligent fault detection system for HPLC and HRF dual-mode communication unit according to claim 5, characterized in that: The chip temperature information includes a first chip normal working temperature, a second chip normal working temperature, a first chip current working temperature and a second chip current working temperature in addition to the first temperature change rate and the second temperature change rate; The first temperature change rate is obtained according to the first chip normal working temperature and the first chip current working temperature; The second temperature change rate is obtained according to the second chip normal working temperature and the second chip current working temperature.

7. The intelligent fault detection system for HPLC and HRF dual mode communication unit according to claim 5, wherein: The historical fault information includes a recent total fault rate group and a same-weather fault rate group; The fifth weight is multiplied by the total fault rate group to obtain a first fault influence value; The sixth weight is multiplied by the same-weather fault rate group to obtain a second fault influence value; The first fault influence value and the second fault influence value are added to obtain a comprehensive fault influence value; multiply the preliminary fault risk information by the comprehensive fault impact value to obtain the dynamic fault risk information; The total fault rate group includes a first total fault rate reflecting the HPLC communication unit, and a second total fault rate reflecting the HRF communication unit; The same weather fault rate group includes a first same weather fault rate reflecting the HPLC communication unit, and a second same weather fault rate reflecting the HRF communication unit; The first communication dynamic fault risk value is obtained according to the first communication preliminary fault risk value, the fifth weight, the first total fault rate, the sixth weight, and the first same weather fault rate; The second communication dynamic fault risk value is obtained according to the second communication preliminary fault risk value, the fifth weight, the second total fault rate, the sixth weight, and the second same weather fault rate.

8. The intelligent fault detection system for HPLC and HRF dual-mode communication unit according to claim 7, characterized in that: The communication quality information includes a first signal strength, a second signal strength, a first error rate, and a second error rate; A first communication quality coefficient is obtained according to the first signal strength and the first error rate; A second communication quality coefficient is obtained according to the second signal strength and the second error rate; A correction coefficient is obtained according to the seventh weight, the first communication quality coefficient, and the second communication quality coefficient; The comprehensive fault risk information is obtained by multiplying the correction coefficient by the dynamic fault risk information; The first communication comprehensive fault risk value is obtained according to the first communication dynamic fault risk value, the first communication quality coefficient, and the seventh weight; The second communication comprehensive fault risk value is obtained according to the second communication dynamic fault risk value, the second communication quality coefficient, and the seventh weight.

9. The intelligent fault detection system for HPLC and HRF dual-mode communication unit according to claim 8, characterized in that: The comparison result includes that the first communication comprehensive fault risk value is greater than the second communication comprehensive fault risk value, the first communication comprehensive fault risk value is less than the second communication comprehensive fault risk value, and the first communication comprehensive fault risk value is equal to the second communication comprehensive fault risk value; Based on the comparison result and the decision of the next stage communication is as follows: If the first communication comprehensive fault risk value is greater than the second communication comprehensive fault risk value, the HRF communication unit is intelligently selected for the next stage communication; If the first communication comprehensive fault risk value is less than the second communication comprehensive fault risk value, the HPLC communication unit is intelligently selected for the next stage communication; If the first communication comprehensive fault risk value is equal to the second communication comprehensive fault risk value, the HRF communication unit is intelligently selected for the next stage communication.

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