Device detection method, system and medium for intelligent explosion-proof communication equipment

Abstract

The present application provides a device detection method, system and medium for intelligent explosion-proof communication equipment. The method includes: testing the intelligent explosion-proof communication equipment under normal operating conditions, extreme environments and extreme operating conditions, and fault conditions, respectively, and obtaining an explosion-proof performance detection index, a communication performance detection index, an environmental adaptability detection index, and a fault self-protection detection index according to the test results, and then obtaining a reliability detection index, and determining the eligibility of the intelligent explosion-proof equipment according to the reliability detection index; thereby achieving the purpose of accurate intelligent detection of intelligent explosion-proof communication equipment.

Description

Technical Field

[0001] The present application relates to the field of big data and equipment detection technology, and more specifically, to an equipment detection method, system and medium for intelligent explosion-proof communication equipment. Background Art

[0002] In industrial fields such as petroleum, chemical industry, and mining, there are a large number of flammable and explosive gases or dusts. These environments place extremely high demands on the safety performance of communication equipment. Intelligent explosion-proof communication equipment has explosion-proof performance, which can ensure the stability and safety of the equipment in various complex and dangerous environments. Therefore, intelligent explosion-proof communication equipment must undergo rigorous testing before leaving the factory to prevent equipment failure from becoming an ignition source and causing an explosion accident. However, there is currently a lack of technology for accurately testing the various performances of intelligent explosion-proof communication equipment.

[0003] In view of the above problems, effective technical solutions are urgently needed. Summary of the invention

[0004] The purpose of this application is to provide an equipment detection method, system and medium for intelligent explosion-proof communication equipment, by testing the intelligent explosion-proof communication equipment under normal operating conditions, extreme environments and extreme operating conditions and fault conditions, and judging the equipment's eligibility based on the test results, so as to achieve the purpose of accurately testing the intelligent explosion-proof communication equipment.

[0005] The present application also provides a device detection method for intelligent explosion-proof communication equipment, comprising the following steps:

[0006] Test the intelligent explosion-proof communication equipment under normal operation to obtain mechanical performance test data, electrical parameter test data, communication performance test data and temperature rise performance test data;

[0007] Processing the mechanical performance test data to obtain a mechanical performance test index, processing the electrical parameter test data to obtain an antistatic performance test index, and processing the communication performance test data to obtain a communication performance test index;

[0008] Processing is performed according to the electrical parameter detection data, the temperature rise performance detection data, the mechanical performance detection index and the antistatic performance detection index to obtain an explosion-proof performance detection index;

[0009] Conduct simulation tests on intelligent explosion-proof communication equipment in extreme environments and operating conditions, and obtain the environmental adaptability detection index based on the simulation test results;

[0010] Conduct fault simulation tests on intelligent explosion-proof communication equipment, and obtain fault self-protection detection index based on the fault simulation test results;

[0011] Processing is performed according to the explosion-proof performance detection index, communication performance detection index, environmental adaptability detection index and fault self-protection detection index to obtain a reliability detection index, and qualification is determined according to the reliability detection index.

[0012] Optionally, in the device detection method for the intelligent explosion-proof communication device described in the present application, the intelligent explosion-proof communication device is detected under normal operating conditions to obtain mechanical performance detection data, electrical parameter detection data, communication performance detection data and temperature rise performance detection data, including:

[0013] The mechanical property test data includes wear resistance test data, pressure resistance test data and mechanical strength test data;

[0014] The electrical parameter detection data includes voltage and current detection data, surface resistance detection data, output power detection data and radio frequency stability detection data;

[0015] The communication performance detection data includes communication quality detection data, signal network detection data and anti-interference ability detection data.

[0016] Optionally, in the device detection method for intelligent explosion-proof communication equipment described in the present application, the processing according to the mechanical performance detection data to obtain a mechanical performance detection index, the processing according to the electrical parameter detection data to obtain an antistatic performance detection index, and the processing according to the communication performance detection data to obtain a communication performance detection index include:

[0017] Calculating according to the wear resistance test data, the pressure resistance test data and the mechanical strength test data to obtain a mechanical property test index;

[0018] Processing the surface resistance detection data, the output power detection data and the radio frequency stability detection data to obtain an antistatic performance detection index;

[0019] The communication quality detection data, the signal network detection data and the anti-interference capability detection data are processed to obtain a communication performance detection index.

[0020] Optionally, in the device detection method for intelligent explosion-proof communication equipment described in the present application, the processing according to the electrical parameter detection data, the temperature rise performance detection data, and the mechanical property detection index and the antistatic performance detection index to obtain the explosion-proof performance detection index includes:

[0021] Processing is performed according to the voltage and current detection data, the temperature rise performance detection data, and the mechanical performance detection index and the antistatic performance detection index to obtain an explosion-proof performance detection index;

[0022] The calculation formula of the explosion-proof performance detection index is:

[0023]

[0024] Among them, Y g is the explosion-proof performance test index, V w is the voltage and current detection data, T s is the temperature rise performance test data, C s is the mechanical property test index, K t It is the antistatic performance test index. ρ and θ are preset characteristic coefficients.

[0025] Optionally, in the device detection method for the intelligent explosion-proof communication device described in the present application, the intelligent explosion-proof communication device is subjected to a simulation test in an extreme environment and an extreme operating state, and an environmental adaptability detection index is obtained according to the simulation test result, including:

[0026] Conduct simulation tests on intelligent explosion-proof communication equipment in extreme environments and operating conditions to obtain simulation test data;

[0027] Extracting electrical parameter test data, antistatic performance test data, communication performance test data, temperature rise performance test data and waterproof and dustproof test data according to the simulation test data;

[0028] The electrical parameter test data, antistatic performance test data, communication performance test data, temperature rise performance test data and waterproof and dustproof test data are input into a preset environmental adaptability detection model for processing to obtain an environmental adaptability detection index.

[0029] Optionally, in the device detection method for the intelligent explosion-proof communication device described in the present application, the performing of a fault simulation test on the intelligent explosion-proof communication device and obtaining a fault self-protection detection index according to the fault simulation test result includes:

[0030] Conduct fault simulation tests on intelligent explosion-proof communication equipment to obtain fault simulation test data;

[0031] Extracting power supply protection measure data, circuit protection measure data, and software safety mode startup data according to the fault simulation test data;

[0032] The power supply protection measure data, the circuit protection measure data, and the software safety mode startup data are processed to obtain a fault self-protection detection index.

[0033] Optionally, in the device detection method for intelligent explosion-proof communication equipment described in the present application, the processing is performed according to the explosion-proof performance detection index, the communication performance detection index, the environmental adaptability detection index and the fault self-protection detection index to obtain a reliability detection index, and the qualification is determined according to the reliability detection index, including:

[0034] The explosion-proof performance detection index, the communication performance detection index, the environmental adaptability detection index and the fault self-protection detection index are weighted averaged to obtain a reliability detection index;

[0035] Comparing the reliability detection index with a preset reliability detection index threshold;

[0036] If the threshold comparison result meets the preset threshold comparison result requirements, the detection is judged to be qualified, otherwise it is judged to be unqualified.

[0037] In a second aspect, the present application provides a device detection system for intelligent explosion-proof communication equipment, the system comprising: a memory and a processor, the memory comprising a program of a device detection method for intelligent explosion-proof communication equipment, and the program of the device detection method for intelligent explosion-proof communication equipment is executed by the processor to implement the following steps:

[0038] Test the intelligent explosion-proof communication equipment under normal operation to obtain mechanical performance test data, electrical parameter test data, communication performance test data and temperature rise performance test data;

[0039] Processing the mechanical performance test data to obtain a mechanical performance test index, processing the electrical parameter test data to obtain an antistatic performance test index, and processing the communication performance test data to obtain a communication performance test index;

[0040] Processing is performed according to the electrical parameter detection data, the temperature rise performance detection data, the mechanical performance detection index and the antistatic performance detection index to obtain an explosion-proof performance detection index;

[0041] Conduct simulation tests on intelligent explosion-proof communication equipment in extreme environments and operating conditions, and obtain the environmental adaptability detection index based on the simulation test results;

[0042] Conduct fault simulation tests on intelligent explosion-proof communication equipment, and obtain fault self-protection detection index based on the fault simulation test results;

[0043] Processing is performed according to the explosion-proof performance detection index, communication performance detection index, environmental adaptability detection index and fault self-protection detection index to obtain a reliability detection index, and qualification is determined according to the reliability detection index.

[0044] Optionally, in the equipment detection system for the intelligent explosion-proof communication equipment described in the present application, the intelligent explosion-proof communication equipment is detected under normal operation to obtain mechanical performance detection data, electrical parameter detection data, communication performance detection data and temperature rise performance detection data, including:

[0045] The mechanical property test data includes wear resistance test data, pressure resistance test data and mechanical strength test data;

[0046] The electrical parameter detection data includes voltage and current detection data, surface resistance detection data, output power detection data and radio frequency stability detection data;

[0047] The communication performance detection data includes communication quality detection data, signal network detection data and anti-interference ability detection data.

[0048] In a third aspect, the present application also provides a computer-readable storage medium, which stores a device detection method program for intelligent explosion-proof communication equipment. When the device detection method program for intelligent explosion-proof communication equipment is executed by a processor, the steps of the device detection method for intelligent explosion-proof communication equipment as described in any one of the above items are implemented.

[0049] From the above, it can be seen that the present application provides an equipment detection method, system and medium for intelligent explosion-proof communication equipment, which respectively tests the intelligent explosion-proof communication equipment under normal operating conditions, extreme environments and extreme operating conditions, and fault conditions, and determines the equipment's qualification based on the test results, so as to achieve the purpose of accurately testing the intelligent explosion-proof communication equipment.

[0050] Other features and advantages of the present application will be described in the following description, and partly become apparent from the description, or understood by practicing the embodiments of the present application. The purpose and other advantages of the present application can be realized and obtained by the structures specifically pointed out in the written description and the drawings. BRIEF DESCRIPTION OF THE DRAWINGS

[0051] In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings required for use in the embodiments of the present application will be briefly introduced below. It should be understood that the following drawings only show certain embodiments of the present application and therefore should not be regarded as limiting the scope. For ordinary technicians in this field, other related drawings can be obtained based on these drawings without paying creative work.

[0052] Figure 1 A flow chart of a device detection method for an intelligent explosion-proof communication device provided in an embodiment of the present application;

[0053] Figure 2A flow chart of obtaining a mechanical performance test index, an antistatic performance test index, and a communication performance test index for a device testing method for an intelligent explosion-proof communication device provided in an embodiment of the present application;

[0054] Figure 3 A flow chart of obtaining an environmental adaptability detection index for a device detection method for an intelligent explosion-proof communication device provided in an embodiment of the present application;

[0055] Figure 4 A flow chart of obtaining a fault self-protection detection index in a device detection method for intelligent explosion-proof communication equipment provided in an embodiment of the present application. DETAILED DESCRIPTION

[0056] The technical solutions in the embodiments of the present application will be clearly and completely described below in conjunction with the drawings in the embodiments of the present application. Obviously, the described embodiments are only a part of the embodiments of the present application, rather than all of the embodiments. The components of the embodiments of the present application described and shown in the drawings here can be arranged and designed in various different configurations. Therefore, the following detailed description of the embodiments of the present application provided in the drawings is not intended to limit the scope of the application claimed for protection, but merely represents the selected embodiments of the present application. Based on the embodiments of the present application, all other embodiments obtained by those skilled in the art without making creative work belong to the scope of protection of the present application.

[0057] It should be noted that similar reference numerals and letters represent similar items in the following drawings, so once an item is defined in one drawing, it does not need to be further defined and explained in subsequent drawings. At the same time, in the description of this application, the terms "first", "second", etc. are only used to distinguish the description and cannot be understood as indicating or implying relative importance.

[0058] Please refer to Figure 1 , Figure 1 1 is a flow chart of a device detection method for intelligent explosion-proof communication equipment in some embodiments of the present application. The device detection method for intelligent explosion-proof communication equipment is used in terminal equipment, such as computers, mobile phone terminals, etc. The device detection method for intelligent explosion-proof communication equipment includes the following steps:

[0059] S11. Test the intelligent explosion-proof communication equipment under normal operation to obtain mechanical performance test data, electrical parameter test data, communication performance test data and temperature rise performance test data;

[0060] S12, processing the mechanical performance test data to obtain a mechanical performance test index, processing the electrical parameter test data to obtain an antistatic performance test index, and processing the communication performance test data to obtain a communication performance test index;

[0061] S13, processing the electrical parameter detection data, the temperature rise performance detection data, the mechanical performance detection index and the antistatic performance detection index to obtain an explosion-proof performance detection index;

[0062] S14. Conduct simulation tests on intelligent explosion-proof communication equipment in extreme environments and operating conditions, and obtain environmental adaptability detection index based on the simulation test results;

[0063] S15. Perform a fault simulation test on the intelligent explosion-proof communication equipment, and obtain a fault self-protection detection index according to the fault simulation test result;

[0064] S16. Processing is performed according to the explosion-proof performance detection index, communication performance detection index, environmental adaptability detection index and fault self-protection detection index to obtain a reliability detection index, and qualification is determined according to the reliability detection index.

[0065] It should be noted that by testing the intelligent explosion-proof communication equipment under normal operating conditions, extreme environments and extreme operating conditions, and fault conditions, the equipment is qualified based on the test results to achieve the purpose of accurate testing of the intelligent explosion-proof communication equipment.

[0066] According to an embodiment of the present invention, the intelligent explosion-proof communication equipment is tested under normal operation to obtain mechanical performance test data, electrical parameter test data, communication performance test data and temperature rise performance test data, including:

[0067] The mechanical property test data includes wear resistance test data, pressure resistance test data and mechanical strength test data;

[0068] The electrical parameter detection data includes voltage and current detection data, surface resistance detection data, output power detection data and radio frequency stability detection data;

[0069] The communication performance detection data includes communication quality detection data, signal network detection data and anti-interference ability detection data.

[0070] It should be noted that the intelligent explosion-proof communication equipment is subject to mechanical performance testing, electrical performance testing, communication performance testing and temperature rise performance testing under normal operation. The temperature rise performance testing is to evaluate the temperature performance of the equipment during operation, because once the temperature of the equipment exceeds the specified temperature limit, there is a risk of igniting explosive gas or dust. If the surface resistance of the explosion-proof communication equipment is too high, it may cause static electricity accumulation, increase the risk of static electricity discharge, and thus cause an explosion. Therefore, it is necessary to detect the surface resistance data. In addition, it is also necessary to test the RF output stability of the equipment to ensure that there will be no sparks or overheating caused by RF problems, thereby causing an explosion. It is also necessary to measure the output power of the equipment at different frequencies to ensure that it does not exceed the specified threshold, because high power output may increase the risk of electrical failures, such as arcs, sparks or high temperatures, which are potential ignition sources and may ignite the surrounding explosive gas or dust.

[0071] Please refer to Figure 2 , Figure 2 It is a flow chart of obtaining a mechanical performance detection index, an antistatic performance detection index and a communication performance detection index of a device detection method for intelligent explosion-proof communication equipment in some embodiments of the present application. According to an embodiment of the present invention, the processing according to the mechanical performance detection data to obtain the mechanical performance detection index, the processing according to the electrical parameter detection data to obtain the antistatic performance detection index, and the processing according to the communication performance detection data to obtain the communication performance detection index include:

[0072] S21, calculating according to the wear resistance test data, the pressure resistance test data and the mechanical strength test data to obtain a mechanical property test index;

[0073] S22, processing the surface resistance detection data, the output power detection data and the radio frequency stability detection data to obtain an antistatic performance detection index;

[0074] S23. Process the communication quality detection data, the signal network detection data, and the anti-interference capability detection data to obtain a communication performance detection index.

[0075] It should be noted that the mechanical performance, antistatic performance and communication performance tests are carried out on the intelligent explosion-proof equipment to obtain the mechanical performance test index, antistatic performance test index and communication performance test index;

[0076] The calculation formula of the mechanical property test index is:

[0077]

[0078] Among them, C s is the mechanical properties test index, M c is the wear resistance test data, Nz is the pressure resistance test data, J m is the mechanical strength test data, α, β, χ are the preset characteristic coefficients (which can be obtained through the preset intelligent explosion-proof equipment detection platform);

[0079] The calculation formula of the antistatic performance test index is:

[0080]

[0081] Among them, K t is the antistatic performance test index, R m is the surface resistance test data, W c is the output power detection data, S g For RF stability test data, γ, ε, and φ are preset characteristic coefficients (which can be obtained through the preset intelligent explosion-proof equipment detection platform);

[0082] The calculation formula of the communication performance detection index is:

[0083] Q h =ηF y ×ln(λG d Z k );

[0084] Among them, Q h is the communication performance detection index, G d is the communication quality detection data, Z k is the signal network detection data, F y is the anti-interference ability detection data, η and λ are the preset characteristic coefficients (which can be obtained by querying the preset intelligent explosion-proof equipment detection platform).

[0085] According to an embodiment of the present invention, the electrical parameter detection data, the temperature rise performance detection data, the mechanical performance detection index and the antistatic performance detection index are processed to obtain the explosion-proof performance detection index, including:

[0086] Processing is performed according to the voltage and current detection data, the temperature rise performance detection data, and the mechanical performance detection index and the antistatic performance detection index to obtain an explosion-proof performance detection index;

[0087] The calculation formula of the explosion-proof performance detection index is:

[0088]

[0089] Among them, Y g is the explosion-proof performance test index, V w is the voltage and current detection data, T s is the temperature rise performance test data, Cs is the mechanical property test index, K t It is the antistatic performance test index. ρ and θ are preset characteristic coefficients (which can be obtained through the preset intelligent explosion-proof equipment detection platform).

[0090] It should be noted that the explosion-proof performance test results are obtained by processing the voltage and current conditions, temperature rise performance test conditions, mechanical performance test index and anti-static performance test index.

[0091] Please refer to Figure 3 , Figure 3 The present invention is a flowchart of obtaining an environmental adaptability detection index of a device detection method for intelligent explosion-proof communication equipment in some embodiments of the present application. According to an embodiment of the present invention, the intelligent explosion-proof communication equipment is simulated and tested in an extreme environment and under an extreme operating state, and the environmental adaptability detection index is obtained according to the simulation test results, including:

[0092] S31. Conduct simulation tests on intelligent explosion-proof communication equipment in extreme environments and operating conditions to obtain simulation test data;

[0093] S32, extracting electrical parameter test data, antistatic performance test data, communication performance test data, temperature rise performance test data and waterproof and dustproof test data according to the simulation test data;

[0094] S33, inputting the electrical parameter test data, antistatic performance test data, communication performance test data, temperature rise performance test data and waterproof and dustproof test data into a preset environmental adaptability detection model for processing to obtain an environmental adaptability detection index.

[0095] It should be noted that intelligent explosion-proof communication equipment is subjected to simulation tests in extreme environments and operating conditions to detect the environmental adaptability of the equipment.

[0096] Please refer to Figure 4 , Figure 4 The present invention is a flowchart of a device detection method for obtaining a fault self-protection detection index of an intelligent explosion-proof communication device in some embodiments of the present application. According to an embodiment of the present invention, the intelligent explosion-proof communication device is subjected to a fault simulation test, and the fault self-protection detection index is obtained according to the fault simulation test result, including:

[0097] S41. Perform a fault simulation test on the intelligent explosion-proof communication equipment to obtain fault simulation test data;

[0098] S42, extracting power supply protection measure data, circuit protection measure data, and software safety mode startup data according to the fault simulation test data;

[0099] S43, performing processing according to the power protection measure data, the circuit protection measure data, and the software safety mode startup data to obtain a fault self-protection detection index.

[0100] It should be noted that by performing fault simulation tests on intelligent explosion-proof equipment, the power protection measures data, circuit protection measures data, and software safety mode startup data of the equipment under fault conditions are obtained, thereby realizing the test of the fault self-protection mechanism of the intelligent explosion-proof equipment. The calculation formula of the fault self-protection detection index is:

[0101]

[0102] Among them, U a is the fault self-protection detection index, P r For power protection measures data, L n is the circuit protection measure data, X b Safe mode startup data for software, ξ and ω are preset characteristic coefficients (which can be obtained through the preset intelligent explosion-proof equipment detection platform).

[0103] According to an embodiment of the present invention, the explosion-proof performance detection index, the communication performance detection index, the environmental adaptability detection index and the fault self-protection detection index are processed to obtain a reliability detection index, and the qualification determination is performed according to the reliability detection index, including:

[0104] The explosion-proof performance detection index, the communication performance detection index, the environmental adaptability detection index and the fault self-protection detection index are weighted averaged to obtain a reliability detection index;

[0105] Comparing the reliability detection index with a preset reliability detection index threshold;

[0106] If the threshold comparison result meets the preset threshold comparison result requirements, the detection is judged to be qualified, otherwise it is judged to be unqualified.

[0107] It should be noted that the reliability of the equipment is determined by conducting explosion-proof performance testing, communication performance testing, environmental adaptability testing and fault self-protection testing on the intelligent explosion-proof equipment, and then the equipment is tested and qualified.

[0108] The present invention also discloses a device detection system for intelligent explosion-proof communication equipment, comprising a memory and a processor, wherein the memory comprises a device detection method program for intelligent explosion-proof communication equipment, and when the device detection method program for intelligent explosion-proof communication equipment is executed by the processor, the following steps are implemented:

[0109] Test the intelligent explosion-proof communication equipment under normal operation to obtain mechanical performance test data, electrical parameter test data, communication performance test data and temperature rise performance test data;

[0110] Processing the mechanical performance test data to obtain a mechanical performance test index, processing the electrical parameter test data to obtain an antistatic performance test index, and processing the communication performance test data to obtain a communication performance test index;

[0111] Processing is performed according to the electrical parameter detection data, the temperature rise performance detection data, the mechanical performance detection index and the antistatic performance detection index to obtain an explosion-proof performance detection index;

[0112] Conduct simulation tests on intelligent explosion-proof communication equipment in extreme environments and operating conditions, and obtain the environmental adaptability detection index based on the simulation test results;

[0113] Conduct fault simulation tests on intelligent explosion-proof communication equipment, and obtain fault self-protection detection index based on the fault simulation test results;

[0114] Processing is performed according to the explosion-proof performance detection index, communication performance detection index, environmental adaptability detection index and fault self-protection detection index to obtain a reliability detection index, and qualification is determined according to the reliability detection index.

[0115] It should be noted that by testing the intelligent explosion-proof communication equipment under normal operating conditions, extreme environments and extreme operating conditions, and fault conditions, the equipment is qualified based on the test results to achieve the purpose of accurate testing of the intelligent explosion-proof communication equipment.

[0116] According to an embodiment of the present invention, the intelligent explosion-proof communication equipment is tested under normal operation to obtain mechanical performance test data, electrical parameter test data, communication performance test data and temperature rise performance test data, including:

[0117] The mechanical property test data includes wear resistance test data, pressure resistance test data and mechanical strength test data;

[0118] The electrical parameter detection data includes voltage and current detection data, surface resistance detection data, output power detection data and radio frequency stability detection data;

[0119] The communication performance detection data includes communication quality detection data, signal network detection data and anti-interference ability detection data.

[0120] It should be noted that the intelligent explosion-proof communication equipment is subject to mechanical performance testing, electrical performance testing, communication performance testing and temperature rise performance testing under normal operation. The temperature rise performance testing is to evaluate the temperature performance of the equipment during operation, because once the temperature of the equipment exceeds the specified temperature limit, there is a risk of igniting explosive gas or dust. If the surface resistance of the explosion-proof communication equipment is too high, it may cause static electricity accumulation, increase the risk of static electricity discharge, and thus cause an explosion. Therefore, it is necessary to detect the surface resistance data. In addition, it is also necessary to test the RF output stability of the equipment to ensure that there will be no sparks or overheating caused by RF problems, thereby causing an explosion. It is also necessary to measure the output power of the equipment at different frequencies to ensure that it does not exceed the specified threshold, because high power output may increase the risk of electrical failures, such as arcs, sparks or high temperatures, which are potential ignition sources and may ignite the surrounding explosive gas or dust.

[0121] According to an embodiment of the present invention, the processing according to the mechanical performance detection data to obtain a mechanical performance detection index, the processing according to the electrical parameter detection data to obtain an antistatic performance detection index, and the processing according to the communication performance detection data to obtain a communication performance detection index include:

[0122] Calculating according to the wear resistance test data, the pressure resistance test data and the mechanical strength test data to obtain a mechanical property test index;

[0123] Processing the surface resistance detection data, the output power detection data and the radio frequency stability detection data to obtain an antistatic performance detection index;

[0124] The communication quality detection data, the signal network detection data and the anti-interference capability detection data are processed to obtain a communication performance detection index.

[0125] It should be noted that the mechanical performance, antistatic performance and communication performance tests are carried out on the intelligent explosion-proof equipment to obtain the mechanical performance test index, antistatic performance test index and communication performance test index;

[0126] The calculation formula of the mechanical property test index is:

[0127]

[0128] Among them, C s is the mechanical properties test index, M c is the wear resistance test data, N z is the pressure resistance test data, J m is the mechanical strength test data, α, β, χ are the preset characteristic coefficients (which can be obtained through the preset intelligent explosion-proof equipment detection platform);

[0129] The calculation formula of the antistatic performance test index is:

[0130]

[0131] Among them, K t is the antistatic performance test index, R m is the surface resistance test data, W c is the output power detection data, S g For RF stability test data, γ, ε, and φ are preset characteristic coefficients (which can be obtained through the preset intelligent explosion-proof equipment detection platform);

[0132] The calculation formula of the communication performance detection index is:

[0133] Q h =ηF y ×ln(λG d Z k );

[0134] Among them, Q h is the communication performance detection index, G d is the communication quality detection data, Z k is the signal network detection data, F y is the anti-interference ability detection data, η and λ are the preset characteristic coefficients (which can be obtained by querying the preset intelligent explosion-proof equipment detection platform).

[0135] According to an embodiment of the present invention, the electrical parameter detection data, the temperature rise performance detection data, the mechanical performance detection index and the antistatic performance detection index are processed to obtain the explosion-proof performance detection index, including:

[0136] Processing is performed according to the voltage and current detection data, the temperature rise performance detection data, and the mechanical performance detection index and the antistatic performance detection index to obtain an explosion-proof performance detection index;

[0137] The calculation formula of the explosion-proof performance detection index is:

[0138]

[0139] Among them, Y g is the explosion-proof performance test index, V w is the voltage and current detection data, T s is the temperature rise performance test data, C s is the mechanical property test index, K t It is the antistatic performance test index. ρ and θ are preset characteristic coefficients (which can be obtained through the preset intelligent explosion-proof equipment detection platform).

[0140] It should be noted that the explosion-proof performance test results are obtained by processing the voltage and current conditions, temperature rise performance test conditions, mechanical performance test index and anti-static performance test index.

[0141] According to an embodiment of the present invention, the intelligent explosion-proof communication device is subjected to a simulation test in an extreme environment and an extreme operating state, and an environmental adaptability detection index is obtained according to the simulation test result, including:

[0142] Conduct simulation tests on intelligent explosion-proof communication equipment in extreme environments and operating conditions to obtain simulation test data;

[0143] Extracting electrical parameter test data, antistatic performance test data, communication performance test data, temperature rise performance test data and waterproof and dustproof test data according to the simulation test data;

[0144] The electrical parameter test data, antistatic performance test data, communication performance test data, temperature rise performance test data and waterproof and dustproof test data are input into a preset environmental adaptability detection model for processing to obtain an environmental adaptability detection index.

[0145] It should be noted that intelligent explosion-proof communication equipment is subjected to simulation tests in extreme environments and operating conditions to detect the environmental adaptability of the equipment.

[0146] According to an embodiment of the present invention, the method of performing a fault simulation test on the intelligent explosion-proof communication device and obtaining a fault self-protection detection index according to the fault simulation test result includes:

[0147] Conduct fault simulation tests on intelligent explosion-proof communication equipment to obtain fault simulation test data;

[0148] Extracting power supply protection measure data, circuit protection measure data, and software safety mode startup data according to the fault simulation test data;

[0149] The power supply protection measure data, the circuit protection measure data, and the software safety mode startup data are processed to obtain a fault self-protection detection index.

[0150] It should be noted that by performing fault simulation tests on intelligent explosion-proof equipment, the power protection measures data, circuit protection measures data, and software safety mode startup data of the equipment under fault conditions are obtained, thereby realizing the test of the fault self-protection mechanism of the intelligent explosion-proof equipment. The calculation formula of the fault self-protection detection index is:

[0151]

[0152] Among them, U ais the fault self-protection detection index, P r For power protection measures data, L n is the circuit protection measure data, X b Startup data for software safe mode, ξ and ω are preset characteristic coefficients (which can be obtained through the preset intelligent explosion-proof equipment detection platform).

[0153] According to an embodiment of the present invention, the explosion-proof performance detection index, the communication performance detection index, the environmental adaptability detection index and the fault self-protection detection index are processed to obtain a reliability detection index, and the qualification determination is performed according to the reliability detection index, including:

[0154] The explosion-proof performance detection index, the communication performance detection index, the environmental adaptability detection index and the fault self-protection detection index are weighted averaged to obtain a reliability detection index;

[0155] Comparing the reliability detection index with a preset reliability detection index threshold;

[0156] If the threshold comparison result meets the preset threshold comparison result requirements, the detection is judged to be qualified, otherwise it is judged to be unqualified.

[0157] It should be noted that the reliability of the equipment is determined by conducting explosion-proof performance testing, communication performance testing, environmental adaptability testing and fault self-protection testing on the intelligent explosion-proof equipment, and then the equipment is tested and qualified.

[0158] A third aspect of the present invention provides a readable storage medium, which stores a device detection method program for intelligent explosion-proof communication equipment. When the device detection method program for intelligent explosion-proof communication equipment is executed by a processor, the steps of the device detection method for intelligent explosion-proof communication equipment as described in any one of the above items are implemented.

[0159] The present invention discloses an equipment detection method, system and medium for intelligent explosion-proof communication equipment, which respectively tests the intelligent explosion-proof communication equipment under normal operating conditions, extreme environments and extreme operating conditions, and fault conditions, and determines the equipment's eligibility based on the test results, so as to achieve the purpose of accurately testing the intelligent explosion-proof communication equipment.

[0160] In the several embodiments provided in the present application, it should be understood that the disclosed devices and methods can be implemented in other ways. The device embodiments described above are only schematic. For example, the division of the units is only a logical function division. There may be other division methods in actual implementation, such as: multiple units or components can be combined, or can be integrated into another system, or some features can be ignored or not executed. In addition, the coupling, direct coupling, or communication connection between the components shown or discussed can be through some interfaces, and the indirect coupling or communication connection of the devices or units can be electrical, mechanical or other forms.

[0161] The units described above as separate components may or may not be physically separated, and the components displayed as units may or may not be physical units; they may be located in one place or distributed on multiple network units; some or all of the units may be selected according to actual needs to achieve the purpose of the present embodiment.

[0162] In addition, all functional units in the embodiments of the present invention may be integrated into one processing unit, or each unit may be separately used as a unit, or two or more units may be integrated into one unit; the above-mentioned integrated units may be implemented in the form of hardware or in the form of hardware plus software functional units.

[0163] Those skilled in the art can understand that: all or part of the steps of implementing the above method embodiments can be completed by hardware related to program instructions, and the aforementioned program can be stored in a readable storage medium. When the program is executed, it executes the steps of the above method embodiments; and the aforementioned storage medium includes: mobile storage devices, read-only memories (ROM, Read-Only Memory), random access memories (RAM, Random Access Memory), disks or optical disks, and other media that can store program codes.

[0164] Alternatively, if the above-mentioned integrated unit of the present invention is implemented in the form of a software function module and sold or used as an independent product, it can also be stored in a readable storage medium. Based on this understanding, the technical solution of the embodiment of the present invention can be essentially or partly reflected in the form of a software product that contributes to the prior art. The software product is stored in a storage medium and includes several instructions for a computer device (which can be a personal computer, a server, or a network device, etc.) to execute all or part of the methods described in each embodiment of the present invention. The aforementioned storage medium includes: various media that can store program codes, such as mobile storage devices, ROM, RAM, magnetic disks or optical disks.

Claims

1. A device detection method for intelligent explosion-proof communication equipment, characterized in that: The following steps are involved: Test the intelligent explosion-proof communication equipment under normal operation to obtain mechanical performance test data, electrical parameter test data, communication performance test data and temperature rise performance test data; Processing the mechanical performance test data to obtain a mechanical performance test index, processing the electrical parameter test data to obtain an antistatic performance test index, and processing the communication performance test data to obtain a communication performance test index; Processing is performed according to the electrical parameter detection data, the temperature rise performance detection data, the mechanical performance detection index and the antistatic performance detection index to obtain an explosion-proof performance detection index; Conduct simulation tests on intelligent explosion-proof communication equipment in extreme environments and operating conditions, and obtain the environmental adaptability detection index based on the simulation test results; Conduct fault simulation tests on intelligent explosion-proof communication equipment, and obtain fault self-protection detection index based on the fault simulation test results; Processing is performed according to the explosion-proof performance detection index, communication performance detection index, environmental adaptability detection index and fault self-protection detection index to obtain a reliability detection index, and qualification is determined according to the reliability detection index; The intelligent explosion-proof communication equipment is tested under normal operation to obtain mechanical performance test data, electrical parameter test data, communication performance test data and temperature rise performance test data, including: The mechanical property test data includes wear resistance test data, pressure resistance test data and mechanical strength test data; The electrical parameter detection data includes voltage and current detection data, surface resistance detection data, output power detection data and radio frequency stability detection data; The communication performance detection data includes communication quality detection data, signal network detection data and anti-interference ability detection data; The processing according to the mechanical performance detection data to obtain the mechanical performance detection index, the processing according to the electrical parameter detection data to obtain the antistatic performance detection index, and the processing according to the communication performance detection data to obtain the communication performance detection index include: Calculating according to the wear resistance test data, the pressure resistance test data and the mechanical strength test data to obtain a mechanical property test index; Processing the surface resistance detection data, the output power detection data and the radio frequency stability detection data to obtain an antistatic performance detection index; Processing the communication quality detection data, the signal network detection data and the anti-interference capability detection data to obtain a communication performance detection index; The calculation formula of the mechanical property test index is: Among them, C s is the mechanical properties test index, M c is the wear resistance test data, N z is the pressure resistance test data, J m is the mechanical strength test data, α, β, χ are the preset characteristic coefficients; The calculation formula of the antistatic performance test index is: Among them, K t is the antistatic performance test index, R m is the surface resistance test data, W c is the output power detection data, S g For RF stability test data, γ, ε, and φ are preset characteristic coefficients; The calculation formula of the communication performance detection index is: Q h =ηF y ×ln(λG d Z k ); Among them, Q h is the communication performance detection index, G d is the communication quality detection data, Z k is the signal network detection data, F y is the anti-interference ability detection data, η and λ are the preset characteristic coefficients; The step of processing the electrical parameter detection data, the temperature rise performance detection data, the mechanical performance detection index, and the antistatic performance detection index to obtain the explosion-proof performance detection index includes: Processing is performed according to the voltage and current detection data, the temperature rise performance detection data, and the mechanical performance detection index and the antistatic performance detection index to obtain an explosion-proof performance detection index; The calculation formula of the explosion-proof performance detection index is: Among them, Y g is the explosion-proof performance test index, V w is the voltage and current detection data, T s is the temperature rise performance test data, C s is the mechanical property test index, K t It is the antistatic performance test index. ρ and θ are preset characteristic coefficients; The intelligent explosion-proof communication equipment is simulated and tested under extreme environments and operating conditions, and the environmental adaptability detection index is obtained according to the simulation test results, including: Conduct simulation tests on intelligent explosion-proof communication equipment in extreme environments and operating conditions to obtain simulation test data; Extracting electrical parameter test data, antistatic performance test data, communication performance test data, temperature rise performance test data and waterproof and dustproof test data according to the simulation test data; The electrical parameter test data, antistatic performance test data, communication performance test data, temperature rise performance test data and waterproof and dustproof test data are input into a preset environmental adaptability detection model for processing to obtain an environmental adaptability detection index; The method of performing a fault simulation test on the intelligent explosion-proof communication equipment and obtaining a fault self-protection detection index according to the fault simulation test result includes: Conduct fault simulation tests on intelligent explosion-proof communication equipment to obtain fault simulation test data; Extracting power supply protection measure data, circuit protection measure data, and software safety mode startup data according to the fault simulation test data; Processing is performed according to the power supply protection measure data, the circuit protection measure data, and the software safety mode startup data to obtain a fault self-protection detection index; The calculation formula of the fault self-protection detection index is: Among them, U a is the fault self-protection detection index, P r For power protection measures data, L n is the circuit protection measure data, X b Safe mode startup data for software, ξ, ω are preset characteristic coefficients; The step of processing the explosion-proof performance detection index, the communication performance detection index, the environmental adaptability detection index and the fault self-protection detection index to obtain a reliability detection index, and making a qualification determination based on the reliability detection index includes: The explosion-proof performance detection index, the communication performance detection index, the environmental adaptability detection index and the fault self-protection detection index are weighted averaged to obtain a reliability detection index; Comparing the reliability detection index with a preset reliability detection index threshold; If the threshold comparison result meets the preset threshold comparison result requirements, the detection is judged to be qualified, otherwise it is judged to be unqualified.

2. An equipment detection system for intelligent explosion-proof communication equipment, characterized in that: The device comprises a memory and a processor, wherein the memory comprises a program of a device detection method for intelligent explosion-proof communication equipment, and when the program of the device detection method for intelligent explosion-proof communication equipment is executed by the processor, the following steps are implemented: Test the intelligent explosion-proof communication equipment under normal operation to obtain mechanical performance test data, electrical parameter test data, communication performance test data and temperature rise performance test data; Processing the mechanical performance test data to obtain a mechanical performance test index, processing the electrical parameter test data to obtain an antistatic performance test index, and processing the communication performance test data to obtain a communication performance test index; Processing is performed according to the electrical parameter detection data, the temperature rise performance detection data, the mechanical performance detection index and the antistatic performance detection index to obtain an explosion-proof performance detection index; Conduct simulation tests on intelligent explosion-proof communication equipment in extreme environments and operating conditions, and obtain the environmental adaptability detection index based on the simulation test results; Conduct fault simulation tests on intelligent explosion-proof communication equipment, and obtain fault self-protection detection index based on the fault simulation test results; Processing is performed according to the explosion-proof performance detection index, communication performance detection index, environmental adaptability detection index and fault self-protection detection index to obtain a reliability detection index, and qualification is determined according to the reliability detection index; The intelligent explosion-proof communication equipment is tested under normal operation to obtain mechanical performance test data, electrical parameter test data, communication performance test data and temperature rise performance test data, including: The mechanical property test data includes wear resistance test data, pressure resistance test data and mechanical strength test data; The electrical parameter detection data includes voltage and current detection data, surface resistance detection data, output power detection data and radio frequency stability detection data; The communication performance detection data includes communication quality detection data, signal network detection data and anti-interference ability detection data; The processing according to the mechanical performance detection data to obtain the mechanical performance detection index, the processing according to the electrical parameter detection data to obtain the antistatic performance detection index, and the processing according to the communication performance detection data to obtain the communication performance detection index include: Calculating according to the wear resistance test data, the pressure resistance test data and the mechanical strength test data to obtain a mechanical property test index; Processing the surface resistance detection data, the output power detection data and the radio frequency stability detection data to obtain an antistatic performance detection index; Processing the communication quality detection data, the signal network detection data and the anti-interference capability detection data to obtain a communication performance detection index; The calculation formula of the mechanical property test index is: Among them, C s is the mechanical properties test index, M c is the wear resistance test data, N z is the pressure resistance test data, J m is the mechanical strength test data, α, β, χ are the preset characteristic coefficients; The calculation formula of the antistatic performance test index is: Among them, K t is the antistatic performance test index, R m is the surface resistance test data, W c is the output power detection data, S g For RF stability test data, γ, ε, and φ are preset characteristic coefficients; The calculation formula of the communication performance detection index is: Q h =ηF y ×ln(λG d Z k ); Among them, Q h is the communication performance detection index, G d is the communication quality detection data, Z k is the signal network detection data, F y is the anti-interference ability detection data, η and λ are the preset characteristic coefficients; The step of processing the electrical parameter detection data, the temperature rise performance detection data, the mechanical performance detection index, and the antistatic performance detection index to obtain the explosion-proof performance detection index includes: Processing is performed according to the voltage and current detection data, the temperature rise performance detection data, and the mechanical performance detection index and the antistatic performance detection index to obtain an explosion-proof performance detection index; The calculation formula of the explosion-proof performance detection index is: Among them, Y g is the explosion-proof performance test index, V w is the voltage and current detection data, T s is the temperature rise performance test data, C s is the mechanical property test index, K t It is the antistatic performance test index. ρ and θ are preset characteristic coefficients; The intelligent explosion-proof communication equipment is simulated and tested under extreme environments and operating conditions, and the environmental adaptability detection index is obtained according to the simulation test results, including: Conduct simulation tests on intelligent explosion-proof communication equipment in extreme environments and operating conditions to obtain simulation test data; Extracting electrical parameter test data, antistatic performance test data, communication performance test data, temperature rise performance test data and waterproof and dustproof test data according to the simulation test data; The electrical parameter test data, antistatic performance test data, communication performance test data, temperature rise performance test data and waterproof and dustproof test data are input into a preset environmental adaptability detection model for processing to obtain an environmental adaptability detection index; The method of performing a fault simulation test on the intelligent explosion-proof communication equipment and obtaining a fault self-protection detection index according to the fault simulation test result includes: Conduct fault simulation tests on intelligent explosion-proof communication equipment to obtain fault simulation test data; Extracting power supply protection measure data, circuit protection measure data, and software safety mode startup data according to the fault simulation test data; Processing is performed according to the power supply protection measure data, the circuit protection measure data, and the software safety mode startup data to obtain a fault self-protection detection index; The calculation formula of the fault self-protection detection index is: Among them, U a is the fault self-protection detection index, P r For power protection measures data, L n is the circuit protection measure data, X b Safe mode startup data for software, ξ, ω are preset characteristic coefficients; The step of processing the explosion-proof performance detection index, the communication performance detection index, the environmental adaptability detection index and the fault self-protection detection index to obtain a reliability detection index, and making a qualification determination based on the reliability detection index includes: The explosion-proof performance detection index, the communication performance detection index, the environmental adaptability detection index and the fault self-protection detection index are weighted averaged to obtain a reliability detection index; Comparing the reliability detection index with a preset reliability detection index threshold; If the threshold comparison result meets the preset threshold comparison result requirements, the detection is judged to be qualified, otherwise it is judged to be unqualified.

3. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores a device detection program for intelligent explosion-proof communication equipment. When the device detection program for intelligent explosion-proof communication equipment is executed by the processor, the steps of the device detection method for intelligent explosion-proof communication equipment as described in any one of claim 1 are implemented.

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