Refrigeration system operation monitoring method and system based on safety inspection

Abstract

The present application relates to the technical field of refrigeration system operation monitoring, and specifically to a refrigeration system operation monitoring method and system based on safety inspection, the method comprising: controlling the operation of the refrigeration system according to a first inspection control instruction and obtaining first operation monitoring data, generating an inspection monitoring fluctuation amplitude, wherein judging whether the refrigeration system is in a normal inspection state according to the inspection monitoring fluctuation amplitude, if the judgment is yes, controlling the operation of the refrigeration system according to the second inspection control instruction and obtaining second operation monitoring data, generating an inspection monitoring growth ratio; judging whether the inspection monitoring growth ratio is less than the inspection operation growth threshold, if the judgment is no, generating an inspection abnormality indication, and guiding the refrigeration inspection personnel to inspect the refrigeration system according to the inspection abnormality indication. In the present invention, accurate operation monitoring and risk warning of the refrigeration system are achieved through precise inspection and comprehensive inspection.

Description

Technical Field

[0001] The present application relates to the technical field of refrigeration system operation monitoring, and in particular to a refrigeration system operation monitoring method and system based on safety inspection. Background Art

[0002] Refrigeration system is a device that absorbs heat and releases heat through the circulation of refrigerant to reduce the temperature. It is widely used in industrial, commercial and civil fields, such as food refrigeration, air conditioning systems, chemical production, etc. Refrigeration system usually includes compressor, condenser, evaporator, expansion valve and other key components.

[0003] During the operation of the refrigeration system, due to equipment aging, improper operation, environmental factors and other reasons, it may cause safety hazards such as leakage, blockage, overpressure, etc. Therefore, it is necessary to conduct regular safety inspections on the refrigeration system to promptly discover and eliminate hidden dangers. At present, the conventional inspection method generally relies on experienced technicians to regularly inspect and measure the temperature of the refrigeration system to determine the operating status of the equipment. Alternatively, according to the equipment manufacturer's recommendations or industry specifications, the refrigeration system should be regularly maintained, such as changing lubricating oil, cleaning filters, etc.

[0004] However, there are problems with the conventional inspection mode. Specifically, the monitoring items involved in the conventional inspection mode are fixed. On the one hand, not all routine inspections are carried out on the refrigeration system every time an inspection is carried out, which leads to a waste of manpower and equipment required for inspection. On the other hand, the inspection categories are fixed and cannot be adjusted in time, resulting in the inspection always being carried out on preset components or lubricant replacement and other operations. This results in poor inspection flexibility and insufficient inspection, which in turn leads to poor inspection results and low accuracy of risk warnings. Summary of the invention

[0005] Based on this, it is necessary to provide a refrigeration system operation monitoring method and system based on safety inspection that can solve the problems of waste of inspection resources, incomplete inspection and poor inspection effect that are easily caused by the conventional inspection mode in the prior art, and can realize accurate operation monitoring and risk warning of the refrigeration system through precise inspection and comprehensive inspection.

[0006] The technical solution of the present invention is as follows:

[0007] A refrigeration system operation monitoring method based on safety inspection, the method comprising:

[0008] Controlling the operation of the refrigeration system and acquiring first operation monitoring data according to a first patrol control instruction, and generating a patrol monitoring fluctuation amplitude according to the first operation monitoring data, wherein the first patrol control instruction is generated according to historical maintenance data of the refrigeration system, and the first patrol control instruction is also associated with a second patrol control instruction;

[0009] Judging whether the refrigeration system is in a normal inspection state according to the inspection monitoring fluctuation amplitude, and if it is judged to be not, generating an inspection abnormality indication, and guiding the refrigeration inspection personnel to inspect the refrigeration system according to the inspection abnormality indication;

[0010] If the judgment is yes, then controlling the operation of the refrigeration system according to the second patrol control instruction and obtaining second operation monitoring data, and generating a patrol monitoring growth ratio according to the second operation monitoring data and the patrol monitoring fluctuation amplitude;

[0011] It is determined whether the inspection monitoring growth ratio is less than the inspection operation growth threshold. If it is determined not, an inspection abnormality indication is generated, and the refrigeration inspection personnel are guided to repair the refrigeration system according to the inspection abnormality indication.

[0012] Optionally, generating a first inspection control instruction according to historical inspection data of the refrigeration system includes:

[0013] Acquire historical maintenance components and historical maintenance items from the historical maintenance data of the refrigeration system, wherein one historical maintenance component corresponds to one historical maintenance item;

[0014] Obtaining the component types of the historical maintenance components, and screening out preliminary inspection components from the historical maintenance components according to the component types, wherein the components of the historical maintenance components excluding the preliminary inspection components are the components to be screened and inspected;

[0015] Screening out re-screened inspection components from the components to be screened according to preset inspection and maintenance conditions and the historical maintenance items;

[0016] The primary screening inspection component and the re-screening inspection component are set as inspection focus components, and the pre-fault operation data of the inspection focus components within a first preset time period before the fault occurrence time point is obtained;

[0017] Filtering out normal operation data and fault operation data from the pre-fault operation data based on a preset fault time window;

[0018] Filtering a conventional operation parameter sequence from the conventional operation data according to a preset standard parameter type, and calculating a conventional parameter standard deviation of the conventional operation parameter sequence;

[0019] Filtering a pre-fault operation parameter sequence from the fault operation data according to the standard parameter type, and calculating a pre-fault parameter standard deviation of the pre-fault operation parameter sequence;

[0020] Calculate the standard deviation change ratio between the standard deviation of the conventional parameters corresponding to each of the standard parameter types and the standard deviation of the parameters before the fault;

[0021] The standard parameter type corresponding to the standard deviation variation ratio that does not belong to the preset variation ratio range is set as the inspection parameter type, and a first inspection control instruction is generated according to the normal operation data and the fault operation data corresponding to the inspection parameter type.

[0022] Optionally, generating a first inspection control instruction according to normal operation data and fault operation data corresponding to the inspection parameter type includes:

[0023] Obtaining the normal operating power range of the refrigeration system within the time period of the normal operating data corresponding to the inspection parameter type;

[0024] Obtaining the faulty operation power range of the refrigeration system within the time period of the faulty operation data corresponding to the inspection parameter type;

[0025] Screening out a power range in the fault operation power range that exceeds the normal operation power range, and setting it as the first inspection control power;

[0026] A first patrol control instruction is generated according to the first patrol control power, wherein the first patrol control instruction is used to control the refrigeration system to operate at the first patrol control power.

[0027] Optionally, the first patrol control instruction is associated with a second patrol control instruction, and the step of generating the second patrol control instruction includes:

[0028] Generate a second patrol control power according to a preset power increase coefficient and a first patrol control power corresponding to the first patrol control instruction;

[0029] A second patrol control instruction is generated according to the second patrol control power.

[0030] Optionally, the first inspection control power is used to control the refrigeration equipment to be monitored corresponding to the corresponding inspection focus component, and the refrigeration equipment to be monitored is a compressor in the refrigeration system;

[0031] Controlling the operation of the refrigeration system and acquiring first operation monitoring data according to the first inspection control instruction, and generating an inspection monitoring fluctuation amplitude according to the first operation monitoring data, including:

[0032] Controlling a compressor in a refrigeration system to operate at the first patrol control power according to a first patrol control instruction, and acquiring first operation monitoring data of the compressor;

[0033] Extracting an intake vibration voltage sequence of the intake valve of the compressor when inhaling air, and extracting an exhaust vibration voltage sequence of the exhaust valve of the compressor when exhausting air from the first operation monitoring data, wherein the intake vibration voltage sequence includes a plurality of intake vibration detection voltage values, and the exhaust vibration voltage sequence includes a plurality of exhaust vibration detection voltage values;

[0034] According to preset vibration detection sampling points, data is collected from the intake vibration voltage sequence and the exhaust vibration voltage sequence, and a vibration change data set is obtained, wherein one vibration detection sampling point corresponds to one vibration change data set, and each vibration change data set includes one intake vibration sampling pressure value and one exhaust vibration sampling pressure value;

[0035] Extracting exhaust temperature data of the exhaust valve of the compressor during exhaust and external temperature data of a pre-marked temperature monitoring point from the first operation monitoring data according to a preset number of temperature sampling points, wherein the pre-marked temperature monitoring point is pre-set on the housing of the compressor and is spaced apart from the exhaust valve by a first distance, the first distance being a straight-line distance, the exhaust temperature data including a plurality of external exhaust temperatures, the external temperature data including a plurality of external diffusion temperatures, the number of the external exhaust temperatures being the same as the number of the external diffusion temperatures;

[0036] Extracting the operating current data of the compressor from the first operating monitoring data, and generating an operating current standard deviation according to the operating current data;

[0037] The inspection monitoring fluctuation amplitude is generated according to the intake vibration voltage sequence, exhaust vibration voltage sequence, vibration change data, exhaust temperature data, external temperature data and operating current standard deviation.

[0038] Optionally, the inspection monitoring fluctuation amplitude is generated based on the following formula:

[0039] ;

[0040] Wherein, AF is the inspection monitoring fluctuation amplitude, k1 is the number of exhaust vibration detection voltage values ​​in the exhaust vibration voltage sequence, k2 is the number of intake vibration detection voltage values ​​in the intake vibration voltage sequence, Vouti is the i-th exhaust vibration detection voltage value in the exhaust vibration voltage sequence, Voa is the average of each exhaust vibration detection voltage value in the exhaust vibration voltage sequence, Vinj is the j-th intake vibration detection voltage value in the intake vibration voltage sequence, Via is the average of each intake vibration detection voltage value in the intake vibration voltage sequence, k3 is the vibration change number. The number of groups, Vso (t) is the exhaust vibration sampling pressure value in the t-th vibration change number group, Vsi (t) is the intake vibration sampling pressure value in the t-th vibration change number group, Vso (t-1) is the exhaust vibration sampling pressure value in the t-1th vibration change number group, Vsi (t-1) is the intake vibration sampling pressure value in the t-1th vibration change number group, N is the number of external diffusion temperatures, Top is the p-th external exhaust temperature in the exhaust temperature data, Tmkp is the p-th external diffusion temperature in the external temperature data, is the standard deviation of the operating current.

[0041] Optionally, controlling the operation of the refrigeration system and acquiring second operation monitoring data according to the second inspection control instruction, and generating an inspection monitoring growth ratio according to the second operation monitoring data and the inspection monitoring fluctuation amplitude, comprises:

[0042] Controlling the operation of the refrigeration system and acquiring second operation monitoring data according to the second inspection control instruction, and generating a second inspection operation fluctuation amplitude according to the second operation monitoring data;

[0043] Calculate the ratio of the second inspection operation fluctuation amplitude to the inspection monitoring fluctuation amplitude, and set the result as the inspection monitoring growth ratio.

[0044] The present invention also provides a refrigeration system operation monitoring system based on safety inspection, the system comprising:

[0045] A patrol amplitude generation module, used to control the operation of the refrigeration system and obtain first operation monitoring data according to a first patrol control instruction, and generate a patrol monitoring fluctuation amplitude according to the first operation monitoring data, wherein the first patrol control instruction is generated according to the historical maintenance data of the refrigeration system, and the first patrol control instruction is also associated with a second patrol control instruction;

[0046] A patrol abnormality judgment module, used to judge whether the refrigeration system is in a normal patrol state according to the patrol monitoring fluctuation amplitude, and if it is judged to be not, generate a patrol abnormality indication, and guide the refrigeration patrol personnel to repair the refrigeration system according to the patrol abnormality indication;

[0047] an operation monitoring continuous module, for controlling the operation of the refrigeration system and acquiring second operation monitoring data according to the second inspection control instruction if the judgment is yes, and generating an inspection monitoring growth ratio according to the second operation monitoring data and the inspection monitoring fluctuation amplitude;

[0048] The growth ratio judgment module is used to judge whether the inspection monitoring growth ratio is less than the inspection operation growth threshold. If it is judged to be no, an inspection abnormality indication is generated, and the refrigeration inspection personnel are guided to repair the refrigeration system according to the inspection abnormality indication.

[0049] Optionally, a computer device is also provided, including a memory and a processor, wherein the memory stores a computer program, and the processor implements the steps of the above-mentioned refrigeration system operation monitoring method based on safety inspection when executing the computer program.

[0050] Optionally, a computer-readable storage medium is also provided, on which a computer program is stored, and when the computer program is executed by a processor, the steps of the above-mentioned refrigeration system operation monitoring method based on safety inspection are implemented.

[0051] The technical effects achieved by the present invention are as follows:

[0052] The above-mentioned refrigeration system operation monitoring method and system based on safety inspection controls the operation of the refrigeration system according to a first inspection control instruction and obtains first operation monitoring data, and generates a patrol monitoring fluctuation amplitude according to the first operation monitoring data, wherein the first inspection control instruction is generated according to the historical maintenance data of the refrigeration system, and the first inspection control instruction is also associated with a second inspection control instruction; judges whether the refrigeration system is in a normal inspection state according to the inspection monitoring fluctuation amplitude, and if it is judged to be no, generates an inspection abnormality indication, and guides the refrigeration inspection personnel to inspect the refrigeration system according to the inspection abnormality indication; if it is judged to be yes, controls the operation of the refrigeration system according to the second inspection control instruction and obtains second operation monitoring data, and generates a patrol monitoring growth ratio according to the second operation monitoring data and the inspection monitoring fluctuation amplitude; judges whether the inspection monitoring growth ratio is less than the inspection operation growth threshold, and if it is judged to be no, generates an inspection abnormality indication, and guides the refrigeration inspection personnel to inspect the refrigeration system according to the inspection abnormality indication. In the present invention, in order to perform targeted inspections when conducting safety inspections on the refrigeration system, the first inspection control instruction and the second inspection control instruction are pre-set, and the first inspection control instruction is generated based on the historical maintenance data of the refrigeration system, that is, by analyzing the historical maintenance data of the refrigeration system, the situations and scenarios in which the refrigeration system has previously failed are obtained through analysis. In order to prevent the same or similar problems from occurring again in the refrigeration system, targeted monitoring and control is set up, specifically by controlling the operation of the refrigeration system based on the first inspection control instruction and obtaining first operation monitoring data, generating an inspection monitoring fluctuation amplitude based on the first operation monitoring data, and the inspection monitoring fluctuation amplitude is used to indicate the stability and degree of stability of the refrigeration system when it is operating in accordance with the first inspection control instruction. Next, in order to make an accurate judgment, it is further judged whether the refrigeration system is in a normal inspection state based on the inspection monitoring fluctuation amplitude. If the judgment is no, it is judged that the refrigeration system is not in a normal inspection state, and it can be directly judged that the operation stability of the refrigeration system is poor, that is, the refrigeration system is in an abnormal inspection state at this time, that is, it can be judged that the refrigeration system has the risk of failure, so further safety monitoring and inspection are required, specifically, generating an inspection abnormality indication, and guiding the refrigeration inspection personnel to repair the refrigeration system according to the inspection abnormality indication.If the judgment is yes, it is to judge that the refrigeration system is in a normal state of inspection, but in this case it is not completely certain that the operation of the refrigeration system must be normal and stable, so further inspection control is required, specifically, by controlling the operation of the refrigeration system according to the second inspection control instruction and obtaining the second operation monitoring data, generating the inspection monitoring growth ratio according to the second operation monitoring data and the inspection monitoring fluctuation amplitude, wherein the inspection monitoring growth ratio represents the ratio of the operation stability of the refrigeration system under the control of the second inspection control instruction and the first inspection control instruction, and can measure the degree of change of the operation data of the refrigeration system after the change from the first inspection control instruction to the second inspection control instruction. Next, it is judged whether the inspection monitoring growth ratio is less than the preset inspection operation growth threshold. If the judgment is yes, it is judged that the inspection monitoring growth ratio is less than the inspection operation growth threshold, that is, it is judged that the operation of the refrigeration system is normal, so at this time the refrigeration system is in a normal state of inspection, and no inspection abnormality reminder is made. If the judgment is no, that is, it is judged that the inspection monitoring growth ratio is greater than or equal to the inspection operation growth threshold, then it means that the amplitude of the change of the operating state of the refrigeration system is too large, does not meet the preset standard, and has the possibility of failure, and then generates an inspection abnormality indication, and guides the refrigeration inspection personnel to inspect the refrigeration system according to the inspection abnormality indication. In general, the present invention pre-sets an association relationship between the first inspection control instruction and the second inspection control instruction, that is, the control of the refrigeration system based on the second inspection control instruction is stronger than the control of the refrigeration system based on the first inspection control instruction, that is, by setting the first inspection control instruction and the second inspection control instruction, gradually enhanced step-type control is implemented on the basis of the damage history of the refrigeration system, and further analysis is performed on the operation monitoring data, with a low-intensity test as the first-order intensity inspection control, if the operation data corresponding to the inspection control is within the normal range, further higher-intensity control is performed, and the obtained data is analyzed, and the data changes under the two inspection controls are analyzed at the same time, and finally an accurate judgment is made. That is, the present invention no longer adopts the conventional safety inspection mode inherent in the prior art, but controls the refrigeration system and performs data analysis through targeted inspections with progressive control intensity, thereby solving the problems of waste of inspection resources, incomplete inspections and poor inspection effects that are easily caused by the conventional inspection mode in the prior art, and realizes accurate operation monitoring and risk warning of the refrigeration system through precise and comprehensive inspections. BRIEF DESCRIPTION OF THE DRAWINGS

[0053] Figure 1 It is a flowchart of a refrigeration system operation monitoring method based on safety inspection in one embodiment;

[0054] Figure 2The structure block diagram of a refrigeration system operation monitoring system based on safety inspection in one embodiment. DETAILED DESCRIPTION

[0055] In order to make the purpose, technical solution and advantages of the present application more clearly understood, the present application is further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present application and are not used to limit the present application.

[0056] In one embodiment, a terminal is provided, which is used to: control the operation of a refrigeration system and obtain first operation monitoring data according to a first patrol control instruction, generate a patrol monitoring fluctuation amplitude according to the first operation monitoring data, wherein the first patrol control instruction is generated according to historical maintenance data of the refrigeration system, and the first patrol control instruction is also associated with a second patrol control instruction; determine whether the refrigeration system is in a normal patrol state according to the patrol monitoring fluctuation amplitude, if it is determined to be no, generate a patrol abnormality indication, and guide refrigeration patrol personnel to repair the refrigeration system according to the patrol abnormality indication; if it is determined to be yes, control the operation of the refrigeration system and obtain second operation monitoring data according to the second patrol control instruction, generate a patrol monitoring growth ratio according to the second operation monitoring data and the patrol monitoring fluctuation amplitude; determine whether the patrol monitoring growth ratio is less than a patrol operation growth threshold, if it is determined to be no, generate a patrol abnormality indication, and guide refrigeration patrol personnel to repair the refrigeration system according to the patrol abnormality indication.

[0057] The terminal may be, but is not limited to, various personal computers, laptops, smart phones, tablet computers, and portable wearable devices.

[0058] In one embodiment, Figure 1 As shown, a refrigeration system operation monitoring method based on safety inspection is provided, and the method comprises:

[0059] Step S100: controlling the operation of the refrigeration system and acquiring first operation monitoring data according to a first inspection control instruction, and generating an inspection monitoring fluctuation amplitude according to the first operation monitoring data, wherein the first inspection control instruction is generated according to historical maintenance data of the refrigeration system, and the first inspection control instruction is also associated with a second inspection control instruction;

[0060] Step S200: judging whether the refrigeration system is in a normal inspection state according to the inspection monitoring fluctuation amplitude, and if it is judged to be not, generating an inspection abnormality indication, and guiding the refrigeration inspection personnel to inspect the refrigeration system according to the inspection abnormality indication;

[0061] Step S300: If the judgment is yes, then control the operation of the refrigeration system according to the second inspection control instruction and obtain second operation monitoring data, and generate an inspection monitoring growth ratio according to the second operation monitoring data and the inspection monitoring fluctuation amplitude;

[0062] Step S400: determine whether the inspection monitoring growth ratio is less than the inspection operation growth threshold. If it is not, generate an inspection abnormality indication, and guide the refrigeration inspection personnel to repair the refrigeration system according to the inspection abnormality indication.

[0063] In the present embodiment, in order to be able to conduct targeted inspections when conducting safety inspections on the refrigeration system, the first inspection control instruction and the second inspection control instruction are pre-set, and the first inspection control instruction is generated based on the historical maintenance data of the refrigeration system, that is, by analyzing the historical maintenance data of the refrigeration system, the situations and scenarios in which the refrigeration system has previously failed are obtained through analysis, and in order to prevent the same or similar problems from occurring again in the refrigeration system, targeted monitoring and control is set, specifically by controlling the operation of the refrigeration system based on the first inspection control instruction and obtaining first operation monitoring data, and generating an inspection monitoring fluctuation amplitude based on the first operation monitoring data, and the inspection monitoring fluctuation amplitude is a value representing the stability of the refrigeration system when operating in accordance with the first inspection control instruction. Next, in order to make an accurate judgment, it is further judged whether the refrigeration system is in a normal inspection state based on the inspection monitoring fluctuation amplitude. If the judgment is no, it is judged that the refrigeration system is not in a normal inspection state, and it can be directly judged that the operation stability of the refrigeration system is poor, that is, the refrigeration system is in an abnormal inspection state at this time, that is, it can be judged that the refrigeration system has the risk of failure, so further safety monitoring and inspection are required, specifically, generating an inspection abnormality indication, and guiding the refrigeration inspection personnel to repair the refrigeration system according to the inspection abnormality indication. If the judgment is yes, it is to judge that the refrigeration system is in a normal state of inspection, but in this case it is not completely certain that the operation of the refrigeration system must be normal and stable, so further inspection control is required, specifically, by controlling the operation of the refrigeration system according to the second inspection control instruction and obtaining the second operation monitoring data, generating the inspection monitoring growth ratio according to the second operation monitoring data and the inspection monitoring fluctuation amplitude, wherein the inspection monitoring growth ratio represents the ratio of the operation stability of the refrigeration system under the control of the second inspection control instruction and the first inspection control instruction, and can measure the degree of change of the operation data of the refrigeration system after the change from the first inspection control instruction to the second inspection control instruction. Next, it is judged whether the inspection monitoring growth ratio is less than the preset inspection operation growth threshold. If the judgment is yes, it is judged that the inspection monitoring growth ratio is less than the inspection operation growth threshold, that is, it is judged that the operation of the refrigeration system is normal, so at this time the refrigeration system is in a normal state of inspection, and no inspection abnormality reminder is made. If the judgment is no, that is, it is judged that the inspection monitoring growth ratio is greater than or equal to the inspection operation growth threshold. At this time, it means that the amplitude of the change in the operating state of the refrigeration system is too large, which does not meet the preset standards and has the possibility of failure. Then, an inspection abnormality indication is generated, and the refrigeration inspection personnel are guided to repair the refrigeration system according to the inspection abnormality indication.

[0064] In the present invention, by presetting the association relationship between the first inspection control instruction and the second inspection control instruction, that is, the control of the refrigeration system based on the second inspection control instruction is stronger than the control of the refrigeration system based on the first inspection control instruction, that is, by setting the first inspection control instruction and the second inspection control instruction, gradually enhanced step-type control is implemented on the basis of the damage history of the refrigeration system, and further analysis is performed on the operation monitoring data, and a low-intensity test is used as the first-order intensity inspection control. If the operation data corresponding to the inspection control is within the normal range, further higher-intensity control is performed, and the obtained data is analyzed, and the data changes under the two inspection controls are analyzed at the same time, and finally an accurate judgment is made. That is, the present invention no longer adopts the conventional safety inspection mode inherent in the prior art, but through targeted inspections, the refrigeration system is controlled and data analyzed with progressive control intensity, so as to solve the problems of inspection resource waste, incomplete inspection and poor inspection effect easily caused by the conventional inspection mode in the prior art, and realize accurate operation monitoring and risk warning of the refrigeration system through accurate inspection and comprehensive inspection.

[0065] In one embodiment, before step S100, generating a first inspection control instruction according to the historical inspection data of the refrigeration system includes:

[0066] Step S010: acquiring historical maintenance components and historical maintenance items from the historical maintenance data of the refrigeration system, wherein one historical maintenance component corresponds to one historical maintenance item;

[0067] Step S020: obtaining the component types of the historical maintenance components, and screening out the preliminary inspection components from the historical maintenance components according to the component types, wherein the components of the historical maintenance components excluding the preliminary inspection components are the components to be screened and inspected;

[0068] Step S030: selecting the re-screened inspection components from the components to be screened according to the preset inspection and maintenance conditions and the historical maintenance items;

[0069] Step S040: setting the primary screening inspection component and the re-screening inspection component as inspection focus components, and obtaining pre-fault operation data of the inspection focus components within a first preset time period before the fault occurrence time point;

[0070] Step S050: filtering out normal operation data and fault operation data from the pre-fault operation data based on a preset fault time window;

[0071] In steps S010-S050, in order to screen out the parts that need to be focused on in the future, first, historical maintenance parts and historical maintenance items are obtained from the historical maintenance data of the refrigeration system, wherein one historical maintenance part corresponds to one historical maintenance item, the historical maintenance part is a part that has been repaired in the refrigeration system, and the historical maintenance item is a record of the specific maintenance of the historical maintenance parts. Taking the compressor as an example, the historical maintenance parts include pistons, piston rings, bearings, exhaust valves and intake valves. The historical maintenance items include cleaning of pistons and piston rings, cleaning and replacement of pistons and piston rings, bearing noise detection, bearing replacement, exhaust valve and intake valve function test, exhaust valve and intake valve cleaning, and exhaust valve and intake valve replacement. Next, the component types of the historical maintenance parts are obtained, and the initial screening inspection parts are screened out from the historical maintenance parts according to the component types, wherein the parts of the historical maintenance parts other than the initial screening inspection parts are the parts to be screened and inspected. That is, the components in the refrigeration system are classified in advance, and it is set whether to focus on the safety inspection after maintenance according to different components. That is, the initial screening inspection components are the components that need to be focused on in the subsequent safety inspection. For example, the piston, piston ring, bearing, exhaust valve and intake valve of the compressor are set into categories respectively, such as the piston, piston ring, exhaust valve and intake valve belong to the first category, and the bearing belongs to the second category. Because the probability of failure of the first category of components is relatively high, the components belonging to the first category need to be focused on, that is, the piston, piston ring, exhaust valve and intake valve are set as the initial screening inspection components. The bearings belonging to the second category are the components to be screened and inspected. If a major failure occurs in the components to be screened and inspected, it is still necessary to focus on the components to be screened and inspected. Specifically, the inspection and maintenance conditions are set, and the inspection and maintenance conditions include obvious noise, temperature exceeding the operating temperature by 30%, and bearing replacement. Therefore, the re-screened inspection components can be screened out from the inspection components to be screened through the inspection and maintenance conditions and the historical maintenance items, and the inspection components to be screened that meet the inspection and maintenance conditions are set as re-screened inspection components. Next, in order to further analyze the pre-fault data, the initial screening inspection components and the re-screening inspection components are first set as inspection focus components, and the pre-fault operation data of the inspection focus components within the first preset time period before the fault occurrence time point is obtained, and then the normal operation data and the fault operation data are screened out from the pre-fault operation data based on the preset fault time window. The fault time window is preset, and its time length is generally set to occupy 10% of the latter part of the first preset time period. For example, if the first preset time period is from 11:10 am to 11:20 am, then the time length of the fault time window is 1 minute, and the normal operation data is the data between 11:10 am and 11:19 am.The fault operation data is data between 11:19 am and 11:20 am.

[0072] Step S060: screening out a regular operation parameter sequence from the regular operation data according to a preset standard parameter type, and calculating a regular parameter standard deviation of the regular operation parameter sequence;

[0073] Step S070: screening out a pre-fault operation parameter sequence from the fault operation data according to the standard parameter type, and calculating a pre-fault parameter standard deviation of the pre-fault operation parameter sequence;

[0074] Step S080: Calculate the standard deviation change ratio between the standard deviation of the conventional parameters corresponding to each standard parameter type and the standard deviation of the parameters before the fault;

[0075] Step S090: setting the standard parameter type corresponding to the standard deviation variation ratio that does not belong to the preset variation ratio range as the inspection parameter type, and generating a first inspection control instruction according to the normal operation data and fault operation data corresponding to the inspection parameter type.

[0076] In step S060-step S090, a standard parameter type is preset, and the standard parameter type is the operating parameter of the component in the refrigeration system that is preset for data analysis. Specifically, the standard parameter type includes but is not limited to temperature, pressure, flow, current and voltage. In order to filter out the parameter type of abnormal operation before the fault, the conventional operation parameter sequence is first filtered out from the conventional operation data through the standard parameter type, and the conventional parameter standard deviation of the conventional operation parameter sequence is calculated. One standard parameter type corresponds to one conventional operation parameter sequence, and each conventional operation parameter sequence contains multiple operation parameters. The corresponding conventional parameter standard deviation is calculated and generated according to each operation parameter, so that one standard parameter type corresponds to one conventional parameter standard deviation. For example, when the standard parameter type is the bearing temperature of the compressor, the corresponding conventional parameter standard deviation is the standard deviation of the temperature. Then, the pre-fault operation parameter sequence is filtered out from the fault operation data according to the standard parameter type, and the pre-fault parameter standard deviation of the pre-fault operation parameter sequence is calculated. Similarly, the fault operation data is analyzed and the pre-fault parameter standard deviation is generated. Next, the standard deviation change ratio between the conventional parameter standard deviation and the pre-fault parameter standard deviation corresponding to each of the standard parameter types is calculated. Specifically, the pre-fault parameter standard deviation corresponding to the standard parameter type is divided by the conventional parameter standard deviation, and the resulting value is the standard deviation change ratio. The preset change ratio range is pre-set, generally 0.9-1.1. Then, the standard parameter type corresponding to the standard deviation change ratio that does not fall within the preset change ratio range is set as the inspection parameter type, that is, the inspection parameter type is the parameter type that needs to be focused on in subsequent inspections. Furthermore, for subsequent targeted inspections and tests, a first inspection control instruction is generated based on the inspection parameter type and the conventional operation data and fault operation data corresponding to the inspection parameter type.

[0077] In one embodiment, in step S090, generating a first inspection control instruction according to the normal operation data and the fault operation data corresponding to the inspection parameter type includes:

[0078] Step S091: obtaining the normal operation power range of the refrigeration system within the time period of the normal operation data corresponding to the inspection parameter type;

[0079] Step S092: obtaining the faulty operation power range of the refrigeration system within the time period where the faulty operation data corresponding to the inspection parameter type is located;

[0080] Step S093: Filter out the power range in the fault operation power range that exceeds the normal operation power range, and set it as the first inspection control power;

[0081] Step S094: generating a first patrol control instruction according to the first patrol control power, wherein the first patrol control instruction is used to control the refrigeration system to operate at the first patrol control power.

[0082] In this embodiment, after filtering out the parameter type with abnormality, for subsequent patrol control, it is necessary to feedback to the corresponding power parameter, specifically, first by obtaining the normal operating power range of the refrigeration system within the time period where the normal operating data corresponding to the patrol parameter type is located, and then obtaining the faulty operating power range of the refrigeration system within the time period where the faulty operating data corresponding to the patrol parameter type is located, and then filtering out the power range in the faulty operating power range that exceeds the normal operating power range, and setting it as the first patrol control power. At this time, the first patrol control power is the inducement that may cause the abnormal parameters to occur, that is, a fault may occur under the operating state within the first patrol control power. Therefore, in order to determine whether the same or similar problems may occur in subsequent patrols, it is necessary to test first, specifically to generate a first patrol control instruction according to the first patrol control power, wherein the first patrol control instruction is used to control the refrigeration system to operate at the first patrol control power.

[0083] In one embodiment, the first inspection control instruction is associated with a second inspection control instruction, and the step of generating the second inspection control instruction includes:

[0084] Step S001: generating a second patrol control power according to a preset power increase coefficient and a first patrol control power corresponding to the first patrol control instruction;

[0085] Step S002: Generate a second patrol control instruction according to the second patrol control power.

[0086] In this embodiment, the preset power increase coefficient is pre-set, generally set to 1.05-1.15. Specifically, the first patrol control power corresponding to the first patrol control instruction is amplified according to the preset power increase coefficient, and the second patrol control power is generated, that is, by setting the preset power increase coefficient, the refrigeration system is gradually enhanced in a step-type control through the first patrol control instruction and the second patrol control instruction, and the operation monitoring data is further analyzed, so as to simulate the operation fluctuations that may be generated in the actual operation of the refrigeration system, and then achieve more accurate control.

[0087] In one embodiment, the first inspection control power is used to control the refrigeration equipment to be monitored corresponding to the corresponding inspection focus component, and the refrigeration equipment to be monitored is a compressor in the refrigeration system;

[0088] Step S100: controlling the operation of the refrigeration system according to the first inspection control instruction and obtaining first operation monitoring data, and generating an inspection monitoring fluctuation amplitude according to the first operation monitoring data, including:

[0089] Step S110: controlling the compressor in the refrigeration system to operate at the first patrol control power according to the first patrol control instruction, and acquiring first operation monitoring data of the compressor;

[0090] Step S120: extracting an intake vibration voltage sequence of the intake valve of the compressor when inhaling, and extracting an exhaust vibration voltage sequence of the exhaust valve of the compressor when exhausting from the first operation monitoring data, wherein the intake vibration voltage sequence includes a plurality of intake vibration detection voltage values, and the exhaust vibration voltage sequence includes a plurality of exhaust vibration detection voltage values;

[0091] Step S130: collecting data from the intake vibration voltage sequence and the exhaust vibration voltage sequence according to preset vibration detection sampling points, and obtaining a vibration change data set, wherein one vibration detection sampling point corresponds to one vibration change data set, and each vibration change data set includes one intake vibration sampling pressure value and one exhaust vibration sampling pressure value;

[0092] Step S140: extracting the exhaust temperature data of the exhaust valve of the compressor during exhaust and the external temperature data of the pre-marked temperature monitoring point according to the preset temperature sampling points from the first operation monitoring data, wherein the pre-marked temperature monitoring point is pre-set on the housing of the compressor and is spaced apart from the exhaust valve by a first distance, the first distance being a straight-line distance, the exhaust temperature data including a plurality of external exhaust temperatures, the external temperature data including a plurality of external diffusion temperatures, and the number of the external exhaust temperatures is the same as the number of the external diffusion temperatures;

[0093] Step S150: extracting the operating current data of the compressor from the first operating monitoring data, and generating an operating current standard deviation according to the operating current data;

[0094] Step S160: Generate a patrol monitoring fluctuation amplitude according to the intake vibration voltage sequence, the exhaust vibration voltage sequence, the vibration change data, the exhaust temperature data, the external temperature data and the operating current standard deviation.

[0095] In this embodiment, when conducting patrol monitoring and analysis, it is not only for the abnormal parameters of the originally faulty components, that is, not for the patrol parameter type, but for a comprehensive inspection to evaluate the overall operating stability of the refrigeration equipment to be monitored corresponding to the patrol attention component, so as to avoid the problem of incomplete patrol and operation monitoring caused by only analyzing the patrol parameter type. Specifically, there are two situations for the first patrol control power. The first is the overall power of the entire refrigeration system, such as the total power consumption required by all components in the system, including compressors, motors, fans, etc. The second is the power of the refrigeration facility where the patrol attention component is located. If the previously damaged component is in the compressor, that is, the patrol attention component is the bearing in the compressor, then the first patrol control power is used to control the compressor. In this application, the second situation is used for explanation and limitation, that is, the first patrol control power is used to control the refrigeration equipment to be monitored corresponding to the corresponding patrol attention component, and the refrigeration equipment to be monitored is the compressor in the refrigeration system. Specifically, first, according to the first patrol control instruction, the compressor in the refrigeration system is controlled to operate at the first patrol control power, and the first operation monitoring data of the compressor is obtained; then, the intake vibration voltage sequence of the intake valve of the compressor during intake, and the exhaust vibration voltage sequence of the exhaust valve of the compressor during exhaust are extracted from the first operation monitoring data, wherein the intake vibration voltage sequence includes a plurality of intake vibration detection voltage values, and the exhaust vibration voltage sequence includes a plurality of exhaust vibration detection voltage values, wherein each intake vibration detection voltage value in the exhaust vibration voltage sequence and each exhaust vibration detection voltage value in the exhaust vibration voltage sequence are directly obtained through a vibration detection sensor, and the voltage values ​​detected by the vibration detection sensor are directly analyzed to achieve the effect of fast data analysis.Next, data is collected from the intake vibration voltage sequence and the exhaust vibration voltage sequence according to preset vibration detection sampling points, and a vibration change number group is obtained. The setting of the vibration monitoring sampling points is generally less than the number of the exhaust vibration detection voltage values. The pressure difference at the current moment can be calculated through the intake vibration sampling pressure value and an exhaust vibration sampling pressure value corresponding to the vibration monitoring sampling points. Then, the exhaust temperature data of the exhaust valve of the compressor during exhaust and the external temperature data of the pre-marked temperature monitoring point are extracted from the first operation monitoring data according to the preset temperature sampling points. The pre-marked temperature monitoring point is pre-set on the casing of the compressor and is spaced a first distance from the exhaust valve. The first distance is a straight line. distance, the exhaust temperature data includes multiple external exhaust temperatures, the external temperature data includes multiple external diffusion temperatures, the number of the external exhaust temperatures is the same as the external diffusion temperatures, and the pre-marked temperature detection point is set according to the first distance to monitor the temperature diffused outward from the exhaust valve and calculate the diffusion coefficient, and then the operating current data of the compressor is extracted from the first operation monitoring data, and the operating current standard deviation is generated according to the operating current data; finally, the inspection monitoring fluctuation amplitude is generated according to the intake vibration voltage sequence, the exhaust vibration voltage sequence, the vibration change number group, the exhaust temperature data, the external temperature data and the operating current standard deviation, thereby achieving the comprehensive data to measure the working stability of the compressor.

[0096] In one embodiment, the inspection monitoring fluctuation amplitude is generated based on the following formula:

[0097] ;

[0098] Wherein, AF is the inspection monitoring fluctuation amplitude, k1 is the number of exhaust vibration detection voltage values ​​in the exhaust vibration voltage sequence, k2 is the number of intake vibration detection voltage values ​​in the intake vibration voltage sequence, Vouti is the i-th exhaust vibration detection voltage value in the exhaust vibration voltage sequence, Voa is the average of each exhaust vibration detection voltage value in the exhaust vibration voltage sequence, Vinj is the j-th intake vibration detection voltage value in the intake vibration voltage sequence, Via is the average of each intake vibration detection voltage value in the intake vibration voltage sequence, k3 is the vibration change number. The number of groups, Vso (t) is the exhaust vibration sampling pressure value in the t-th vibration change number group, Vsi (t) is the intake vibration sampling pressure value in the t-th vibration change number group, Vso (t-1) is the exhaust vibration sampling pressure value in the t-1th vibration change number group, Vsi (t-1) is the intake vibration sampling pressure value in the t-1th vibration change number group, N is the number of external diffusion temperatures, Top is the p-th external exhaust temperature in the exhaust temperature data, Tmkp is the p-th external diffusion temperature in the external temperature data, is the standard deviation of the operating current.

[0099] In one embodiment, step S200: judging whether the refrigeration system is in a normal inspection state according to the inspection monitoring fluctuation amplitude, comprises:

[0100] Step S210: determining whether the inspection monitoring fluctuation amplitude is within the inspection fluctuation range;

[0101] Step S220: If the answer is yes, then the refrigeration system is judged to be in a normal inspection state;

[0102] Step S230: If the judgment is no, it is determined that the refrigeration system is not in a normal inspection state.

[0103] In this embodiment, the inspection fluctuation range is pre-set, so that after obtaining the inspection monitoring fluctuation amplitude, it is determined whether the inspection monitoring fluctuation amplitude is within the inspection fluctuation range to determine whether the refrigeration system is in the inspection normal state. When it is determined that the inspection monitoring fluctuation amplitude is within the inspection fluctuation range, it means that there are fluctuations in the operation of the refrigeration system at this time, but the fluctuations are normal, so the refrigeration system is determined to be in the inspection normal state, otherwise, it is determined that the refrigeration system is not in the inspection normal state.

[0104] In one embodiment, in step S300, controlling the operation of the refrigeration system and acquiring second operation monitoring data according to the second inspection control instruction, and generating an inspection monitoring growth ratio according to the second operation monitoring data and the inspection monitoring fluctuation amplitude include:

[0105] Step S310: controlling the operation of the refrigeration system and acquiring second operation monitoring data according to the second inspection control instruction, and generating a second inspection operation fluctuation amplitude according to the second operation monitoring data;

[0106] Step S320: Calculate the ratio of the second inspection operation fluctuation amplitude to the inspection monitoring fluctuation amplitude, and set the result as the inspection monitoring growth ratio.

[0107] In this embodiment, the method of generating the second inspection operation fluctuation amplitude according to the second operation monitoring data is the same as the method of generating the inspection monitoring fluctuation amplitude, and the same calculation formula is used, which should be understood by those skilled in the art, so this application will not repeat it. By calculating the ratio of the second inspection operation fluctuation amplitude to the inspection monitoring fluctuation amplitude, and setting the result as the inspection monitoring growth ratio, the degree of change of the operation data of the refrigeration system after the control from the first inspection control instruction to the second inspection control instruction is measured, so as to judge whether the operation of the refrigeration system is stable when the control intensity is enhanced.

[0108] Therefore, the present invention abandons the original fixed inspection mode and adopts a method of applying different intensity controls and analyzing corresponding data to replace the inspection, simulating the intensity variation problems that may be encountered in actual production, and achieving inspection instructions that better match actual operations.

[0109] In one embodiment, Figure 2 As shown, a refrigeration system operation monitoring system based on safety inspection is also provided, and the system includes:

[0110] A patrol amplitude generation module, used to control the operation of the refrigeration system and obtain first operation monitoring data according to a first patrol control instruction, and generate a patrol monitoring fluctuation amplitude according to the first operation monitoring data, wherein the first patrol control instruction is generated according to the historical maintenance data of the refrigeration system, and the first patrol control instruction is also associated with a second patrol control instruction;

[0111] A patrol abnormality judgment module, used to judge whether the refrigeration system is in a normal patrol state according to the patrol monitoring fluctuation amplitude, and if it is judged to be not, generate a patrol abnormality indication, and guide the refrigeration patrol personnel to repair the refrigeration system according to the patrol abnormality indication;

[0112] an operation monitoring continuous module, for controlling the operation of the refrigeration system and acquiring second operation monitoring data according to the second inspection control instruction if the judgment is yes, and generating an inspection monitoring growth ratio according to the second operation monitoring data and the inspection monitoring fluctuation amplitude;

[0113] The growth ratio judgment module is used to judge whether the inspection monitoring growth ratio is less than the inspection operation growth threshold. If it is judged to be no, an inspection abnormality indication is generated, and the refrigeration inspection personnel are guided to repair the refrigeration system according to the inspection abnormality indication.

[0114] In one embodiment, the inspection amplitude generation module is also used to: obtain historical maintenance components and historical maintenance items from the historical maintenance data of the refrigeration system, wherein one historical maintenance component corresponds to one historical maintenance item; obtain the component type of the historical maintenance component, and screen out preliminary screening inspection components from the historical maintenance components according to the component type, wherein the components of the historical maintenance components other than the preliminary screening inspection components are the components to be screened for inspection; screen out re-screening inspection components from the components to be screened for inspection according to preset inspection and maintenance conditions and the historical maintenance items; set the preliminary screening inspection components and the re-screening inspection components as inspection focus components, and obtain the pre-fault operation data of the inspection focus components within a first preset time period before the time point of the fault occurrence; based on the preset inspection and maintenance conditions and the historical maintenance items, A fault time window is set to filter out normal operation data and fault operation data from the pre-fault operation data; a normal operation parameter sequence is filtered out from the normal operation data according to a preset standard parameter type, and the normal parameter standard deviation of the normal operation parameter sequence is calculated; a pre-fault operation parameter sequence is filtered out from the fault operation data according to the standard parameter type, and the pre-fault parameter standard deviation of the pre-fault operation parameter sequence is calculated; the standard deviation change ratio between the normal parameter standard deviation corresponding to each of the standard parameter types and the pre-fault parameter standard deviation is calculated; the standard parameter type corresponding to the standard deviation change ratio that does not belong to the preset change ratio range is set as an inspection parameter type, and a first inspection control instruction is generated according to the normal operation data and the fault operation data corresponding to the inspection parameter type.

[0115] In one embodiment, the patrol amplitude generation module is also used to: obtain the normal operating power range of the refrigeration system within the time period where the normal operating data corresponding to the patrol parameter type is located; obtain the fault operating power range of the refrigeration system within the time period where the fault operating data corresponding to the patrol parameter type is located; filter out the power range in the fault operating power range that exceeds the normal operating power range, and set it as the first patrol control power; generate a first patrol control instruction according to the first patrol control power, wherein the first patrol control instruction is used to control the refrigeration system to operate at the first patrol control power.

[0116] In one embodiment, the patrol amplitude generation module is further used to: generate a second patrol control power according to a preset power amplification coefficient and a first patrol control power corresponding to the first patrol control instruction; and generate a second patrol control instruction according to the second patrol control power.

[0117] In one embodiment, the first patrol control power is used to control the refrigeration equipment to be monitored corresponding to the corresponding patrol focus component, and the refrigeration equipment to be monitored is the compressor in the refrigeration system; the patrol amplitude generation module is also used to: control the compressor in the refrigeration system to operate at the first patrol control power according to the first patrol control instruction, and obtain the first operation monitoring data of the compressor; extract the intake vibration voltage sequence of the intake valve of the compressor when inhaling from the first operation monitoring data, and extract the exhaust vibration voltage sequence of the exhaust valve of the compressor when exhausting, wherein the intake vibration voltage sequence includes multiple intake vibration detection voltage values, and the exhaust vibration voltage sequence includes multiple exhaust vibration detection voltage values; data is collected from the intake vibration voltage sequence and the exhaust vibration voltage sequence according to preset vibration detection sampling points, and a vibration change data set is obtained, wherein one vibration detection sampling point corresponds to one vibration change data group, each of the vibration change data groups includes an intake vibration sampling pressure value and an exhaust vibration sampling pressure value; the exhaust temperature data of the exhaust valve of the compressor during exhaust and the external temperature data of the pre-marked temperature monitoring point are extracted from the first operation monitoring data according to the preset temperature sampling points, wherein the pre-marked temperature monitoring point is pre-set on the outer casing of the compressor and is spaced a first distance from the exhaust valve, the first distance is a straight-line distance, the exhaust temperature data includes a plurality of external exhaust temperatures, the external temperature data includes a plurality of external diffusion temperatures, and the number of the external exhaust temperatures is the same as the number of the external diffusion temperatures; the operation current data of the compressor is extracted from the first operation monitoring data, and the operation current standard deviation is generated according to the operation current data; the inspection monitoring fluctuation amplitude is generated according to the intake vibration voltage sequence, the exhaust vibration voltage sequence, the vibration change number group, the exhaust temperature data, the external temperature data and the operation current standard deviation.

[0118] In one embodiment, the inspection amplitude generation module is further used to generate the inspection monitoring fluctuation amplitude based on the following formula:

[0119] ;

[0120] Wherein, AF is the inspection monitoring fluctuation amplitude, k1 is the number of exhaust vibration detection voltage values ​​in the exhaust vibration voltage sequence, k2 is the number of intake vibration detection voltage values ​​in the intake vibration voltage sequence, Vouti is the i-th exhaust vibration detection voltage value in the exhaust vibration voltage sequence, Voa is the average of each exhaust vibration detection voltage value in the exhaust vibration voltage sequence, Vinj is the j-th intake vibration detection voltage value in the intake vibration voltage sequence, Via is the average of each intake vibration detection voltage value in the intake vibration voltage sequence, k3 is the vibration change number. The number of groups, Vso (t) is the exhaust vibration sampling pressure value in the t-th vibration change number group, Vsi (t) is the intake vibration sampling pressure value in the t-th vibration change number group, Vso (t-1) is the exhaust vibration sampling pressure value in the t-1th vibration change number group, Vsi (t-1) is the intake vibration sampling pressure value in the t-1th vibration change number group, N is the number of external diffusion temperatures, Top is the p-th external exhaust temperature in the exhaust temperature data, Tmkp is the p-th external diffusion temperature in the external temperature data, is the standard deviation of the operating current.

[0121] In one embodiment, the inspection abnormality judgment module is also used to: judge whether the inspection monitoring fluctuation amplitude is within the inspection fluctuation range; if it is judged to be yes, judge that the refrigeration system is in a normal inspection state; if it is judged to be no, judge that the refrigeration system is not in a normal inspection state.

[0122] In one embodiment, the operation monitoring continuous module is also used to: control the operation of the refrigeration system and obtain second operation monitoring data according to the second patrol control instruction, generate a second patrol operation fluctuation amplitude according to the second operation monitoring data; calculate the ratio of the second patrol operation fluctuation amplitude to the patrol monitoring fluctuation amplitude, and set the result as the patrol monitoring growth ratio.

[0123] In one embodiment, a computer device is also provided, including a memory and a processor, wherein the memory stores a computer program, and the processor implements the steps of the above-mentioned refrigeration system operation monitoring method based on safety inspection when executing the computer program.

[0124] In one embodiment, a computer-readable storage medium is further provided, on which a computer program is stored. When the computer program is executed by a processor, the steps of the above-mentioned refrigeration system operation monitoring method based on safety inspection are implemented.

[0125] Those of ordinary skill in the art can understand that all or part of the processes in the above-mentioned embodiment methods can be implemented by instructing the relevant hardware through a computer program, and the computer program can be stored in a non-volatile computer-readable storage medium. When the computer program is executed, it can include the processes of the embodiments of the above-mentioned methods. Among them, any reference to memory, storage, database or other media used in the embodiments provided in this application may include non-volatile and / or volatile memory. Non-volatile memory may include read-only memory (ROM), programmable ROM (PROM), electrically programmable ROM (EPROM), electrically erasable programmable ROM (EEPROM) or flash memory. Volatile memory may include random access memory (RAM) or external cache memory. By way of illustration and not limitation, RAM is available in many forms, such as static RAM (SRAM), dynamic RAM (DRAM), synchronous DRAM (SDRAM), double data rate SDRAM (DDRSDRAM), enhanced SDRAM (ESDRAM), synchronous link (Synchlink) DRAM (SLDRAM), memory bus (Rambus) direct RAM (RDRAM), direct memory bus dynamic RAM (DRDRAM), and memory bus dynamic RAM (RDRAM), etc.

[0126] The technical features of the above embodiments may be combined arbitrarily. To make the description concise, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this specification.

[0127] The above-described embodiments only express several implementation methods of the present application, and the descriptions thereof are relatively specific and detailed, but they cannot be understood as limiting the scope of the invention. It should be pointed out that, for a person of ordinary skill in the art, several modifications and improvements can be made without departing from the concept of the present application, and these all belong to the protection scope of the present application. Therefore, the protection scope of the present application shall be subject to the attached claims.

Claims

1. A refrigeration system operation monitoring method based on safety inspection, characterized in that: The method comprises: Controlling the operation of the refrigeration system and acquiring first operation monitoring data according to a first patrol control instruction, and generating a patrol monitoring fluctuation amplitude according to the first operation monitoring data, wherein the first patrol control instruction is generated according to historical maintenance data of the refrigeration system, and the first patrol control instruction is also associated with a second patrol control instruction; Judging whether the refrigeration system is in a normal inspection state according to the inspection monitoring fluctuation amplitude, and if it is judged to be not, generating an inspection abnormality indication, and guiding the refrigeration inspection personnel to inspect the refrigeration system according to the inspection abnormality indication; If the judgment is yes, then controlling the operation of the refrigeration system according to the second patrol control instruction and obtaining second operation monitoring data, and generating a patrol monitoring growth ratio according to the second operation monitoring data and the patrol monitoring fluctuation amplitude; It is determined whether the inspection monitoring growth ratio is less than the inspection operation growth threshold. If it is determined not, an inspection abnormality indication is generated, and the refrigeration inspection personnel are guided to repair the refrigeration system according to the inspection abnormality indication.

2. The refrigeration system operation monitoring method based on safety inspection according to claim 1 is characterized in that: Generating a first inspection control instruction according to the historical inspection data of the refrigeration system includes: Acquire historical maintenance components and historical maintenance items from the historical maintenance data of the refrigeration system, wherein one historical maintenance component corresponds to one historical maintenance item; Obtaining the component types of the historical maintenance components, and screening out preliminary inspection components from the historical maintenance components according to the component types, wherein the components of the historical maintenance components excluding the preliminary inspection components are the components to be screened and inspected; Screening out re-screened inspection components from the components to be screened according to preset inspection and maintenance conditions and the historical maintenance items; The primary screening inspection component and the re-screening inspection component are set as inspection focus components, and the pre-fault operation data of the inspection focus components within a first preset time period before the fault occurrence time point is obtained; Filtering out normal operation data and fault operation data from the pre-fault operation data based on a preset fault time window; Filtering a conventional operation parameter sequence from the conventional operation data according to a preset standard parameter type, and calculating a conventional parameter standard deviation of the conventional operation parameter sequence; Filtering a pre-fault operation parameter sequence from the fault operation data according to the standard parameter type, and calculating a pre-fault parameter standard deviation of the pre-fault operation parameter sequence; Calculate the standard deviation change ratio between the standard deviation of the conventional parameters corresponding to each of the standard parameter types and the standard deviation of the parameters before the fault; The standard parameter type corresponding to the standard deviation variation ratio that does not belong to the preset variation ratio range is set as the inspection parameter type, and a first inspection control instruction is generated according to the normal operation data and the fault operation data corresponding to the inspection parameter type.

3. The refrigeration system operation monitoring method based on safety inspection according to claim 2 is characterized in that: Generating a first inspection control instruction according to the normal operation data and the fault operation data corresponding to the inspection parameter type includes: Obtaining the normal operating power range of the refrigeration system within the time period of the normal operating data corresponding to the inspection parameter type; Obtaining the faulty operation power range of the refrigeration system within the time period of the faulty operation data corresponding to the inspection parameter type; Screening out a power range in the fault operation power range that exceeds the normal operation power range, and setting it as the first inspection control power; A first patrol control instruction is generated according to the first patrol control power, wherein the first patrol control instruction is used to control the refrigeration system to operate at the first patrol control power.

4. The refrigeration system operation monitoring method based on safety inspection according to claim 2 is characterized in that: The step of generating the second inspection control instruction includes: Generate a second patrol control power according to a preset power increase coefficient and a first patrol control power corresponding to the first patrol control instruction; A second patrol control instruction is generated according to the second patrol control power.

5. The refrigeration system operation monitoring method based on safety inspection according to claim 3 is characterized in that: The first inspection control power is used to control the refrigeration equipment to be monitored corresponding to the corresponding inspection focus component, and the refrigeration equipment to be monitored is a compressor in the refrigeration system; Controlling the operation of the refrigeration system and acquiring first operation monitoring data according to the first inspection control instruction, and generating an inspection monitoring fluctuation amplitude according to the first operation monitoring data, including: Controlling a compressor in a refrigeration system to operate at the first patrol control power according to a first patrol control instruction, and acquiring first operation monitoring data of the compressor; Extracting an intake vibration voltage sequence of the intake valve of the compressor when inhaling air, and extracting an exhaust vibration voltage sequence of the exhaust valve of the compressor when exhausting air from the first operation monitoring data, wherein the intake vibration voltage sequence includes a plurality of intake vibration detection voltage values, and the exhaust vibration voltage sequence includes a plurality of exhaust vibration detection voltage values; According to preset vibration detection sampling points, data is collected from the intake vibration voltage sequence and the exhaust vibration voltage sequence, and a vibration change data set is obtained, wherein one vibration detection sampling point corresponds to one vibration change data set, and each vibration change data set includes one intake vibration sampling pressure value and one exhaust vibration sampling pressure value; Extracting exhaust temperature data of the exhaust valve of the compressor during exhaust and external temperature data of a pre-marked temperature monitoring point from the first operation monitoring data according to a preset number of temperature sampling points, wherein the pre-marked temperature monitoring point is pre-set on the housing of the compressor and is spaced apart from the exhaust valve by a first distance, the first distance being a straight-line distance, the exhaust temperature data including a plurality of external exhaust temperatures, the external temperature data including a plurality of external diffusion temperatures, the number of the external exhaust temperatures being the same as the number of the external diffusion temperatures; Extracting the operating current data of the compressor from the first operating monitoring data, and generating an operating current standard deviation according to the operating current data; The inspection monitoring fluctuation amplitude is generated according to the intake vibration voltage sequence, exhaust vibration voltage sequence, vibration change data, exhaust temperature data, external temperature data and operating current standard deviation.

6. The refrigeration system operation monitoring method based on safety inspection according to claim 5 is characterized in that: The inspection monitoring fluctuation amplitude is generated based on the following formula: ； Wherein, AF is the inspection monitoring fluctuation amplitude, k1 is the number of exhaust vibration detection voltage values ​​in the exhaust vibration voltage sequence, k2 is the number of intake vibration detection voltage values ​​in the intake vibration voltage sequence, Vouti is the i-th exhaust vibration detection voltage value in the exhaust vibration voltage sequence, Voa is the average of each exhaust vibration detection voltage value in the exhaust vibration voltage sequence, Vinj is the j-th intake vibration detection voltage value in the intake vibration voltage sequence, Via is the average of each intake vibration detection voltage value in the intake vibration voltage sequence, k3 is the vibration change number. The number of groups, Vso (t) is the exhaust vibration sampling pressure value in the t-th vibration change number group, Vsi (t) is the intake vibration sampling pressure value in the t-th vibration change number group, Vso (t-1) is the exhaust vibration sampling pressure value in the t-1th vibration change number group, Vsi (t-1) is the intake vibration sampling pressure value in the t-1th vibration change number group, N is the number of external diffusion temperatures, Top is the p-th external exhaust temperature in the exhaust temperature data, Tmkp is the p-th external diffusion temperature in the external temperature data, is the standard deviation of the operating current.

7. The refrigeration system operation monitoring method based on safety inspection according to claim 6 is characterized in that: Controlling the operation of the refrigeration system and acquiring second operation monitoring data according to the second inspection control instruction, and generating an inspection monitoring growth ratio according to the second operation monitoring data and the inspection monitoring fluctuation amplitude, including: Controlling the operation of the refrigeration system and acquiring second operation monitoring data according to the second inspection control instruction, and generating a second inspection operation fluctuation amplitude according to the second operation monitoring data; Calculate the ratio of the second inspection operation fluctuation amplitude to the inspection monitoring fluctuation amplitude, and set the result as the inspection monitoring growth ratio.

8. A refrigeration system operation monitoring system based on safety inspection, characterized in that: The system comprises: A patrol amplitude generation module, used to control the operation of the refrigeration system and obtain first operation monitoring data according to a first patrol control instruction, and generate a patrol monitoring fluctuation amplitude according to the first operation monitoring data, wherein the first patrol control instruction is generated according to the historical maintenance data of the refrigeration system, and the first patrol control instruction is also associated with a second patrol control instruction; A patrol abnormality judgment module, used to judge whether the refrigeration system is in a normal patrol state according to the patrol monitoring fluctuation amplitude, and if it is judged to be not, generate a patrol abnormality indication, and guide the refrigeration patrol personnel to repair the refrigeration system according to the patrol abnormality indication; an operation monitoring continuous module, for controlling the operation of the refrigeration system and acquiring second operation monitoring data according to the second inspection control instruction if the judgment is yes, and generating an inspection monitoring growth ratio according to the second operation monitoring data and the inspection monitoring fluctuation amplitude; The growth ratio judgment module is used to judge whether the inspection monitoring growth ratio is less than the inspection operation growth threshold. If it is judged to be no, an inspection abnormality indication is generated, and the refrigeration inspection personnel are guided to repair the refrigeration system according to the inspection abnormality indication.

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