Intelligent heating and ventilation system applied to skid-mounted electric control integrated device

Abstract

The invention relates to the technical field of intelligent heating and ventilation, in particular to an intelligent heating and ventilation system applied to a skid-mounted electric control integrated device, which comprises a monitoring module, an analysis module, an execution module, a storage module and a management module. Real-time monitoring parameters are obtained by monitoring the skid-mounted electric control integrated device in real time; according to the real-time monitoring parameters, whether heating and ventilation abnormity exists in the skid-mounted electric control integrated device or not is judged, and when the heating and ventilation abnormity exists, the actual abnormity type and the actual abnormity level are determined according to the real-time monitoring parameters; actual working modes of the target fan and the electric shutter are determined according to the actual abnormal types in combination with the real-time monitoring parameters; the actual number of abnormal times of heating and ventilation abnormity in a preset initial monitoring period is obtained, the initial rotating speed of the target fan is adjusted according to the actual number of abnormal times, or an alarm is given; and recording the actual alarm times of the alarm, and predicting the maintenance demand according to the actual alarm times in combination with the alarm interval.

Description

Technical Field

[0001] The present invention relates to the field of intelligent HVAC technology, and in particular to an intelligent HVAC system applied to a skid-mounted electric control integrated device. Background Art

[0002] In the prior art, skid-mounted integrated electronic control devices have high requirements for temperature protection levels. Especially in recent years, with the upgrading of power equipment, high-end and high-precision instruments and meters are widely used in power equipment. These high-precision instruments and meters are located in skid-mounted integrated electronic control devices, so the requirements for the working environment inside the skid are getting higher and higher.

[0003] Chinese patent application publication number CN112393342A discloses a distributed HVAC intelligent control system, including a mounting block and an air conditioning box: the mounting block is internally slidably connected with a slider, a ventilation pipe is fixedly installed on one side of the interior of the air conditioning box, a fixed pipe is fixedly installed on one end of the ventilation pipe, a ventilator is hung inside one end of the fixed pipe, a filter is fixedly installed on one side of the ventilator, an adsorption carbon filter layer is fixedly installed on one side of the filter, an L-shaped connecting pipe is fixedly connected to one end of the fixed pipe, a shutter is rotatably installed inside one end of the L-shaped connecting pipe, an electric heating network is fixedly installed inside one end of the fixed pipe, and the fixed A refrigeration network is fixedly installed inside the other end of the pipeline, and a humidifying tube is embedded on one side of the air-conditioning box; wherein, the installation block and the humidifying tube only solve the problems of inconvenient installation and low humidification efficiency of the commonly used indoor HVAC, and the real-time detection of the indoor air temperature and humidity is only to control the opening and closing of the corresponding electrical equipment, and the abnormality type and level cannot be determined, and the fault diagnosis cannot be accurately performed, nor can the number of abnormalities be recorded, and preventive maintenance can be performed accordingly. The application scenario corresponding to the above invention is an ordinary indoor room, and there are a large number of electrical equipment in the working environment corresponding to the skid-mounted integrated electronic control device. Therefore, it is more necessary to achieve precise control of the HVAC.

[0004] This shows that the current intelligent HVAC technology cannot achieve intelligent control of the working environment inside the skid-mounted integrated electronic control device. Summary of the invention

[0005] To this end, the purpose of the present invention is to provide an intelligent HVAC system applied to a skid-mounted integrated electronic control device, so as to overcome the problem that the current intelligent HVAC technology cannot realize intelligent regulation of the working environment in the skid-mounted integrated electronic control device.

[0006] To achieve the above object, the present invention provides an intelligent HVAC system applied to a skid-mounted electric control integrated device, comprising: A monitoring module, which is used to monitor the skid-mounted electric control integrated device in real time to obtain real-time monitoring parameters; an analysis module, which is used to determine whether the skid-mounted electric control integrated device has a HVAC anomaly based on the real-time monitoring parameters, and when the HVAC anomaly exists, determine the actual anomaly type and actual anomaly level based on the real-time monitoring parameters; An execution module, which is used to determine the actual working mode of the target fan and the electric shutter respectively according to the actual abnormality type and the real-time monitoring parameters; A storage module, which is used to obtain the actual number of abnormalities of the HVAC abnormality occurring within a preset initial monitoring period, and adjust the initial speed of the target fan according to the actual number of abnormalities, or issue an alarm; The management module is used to record the actual number of alarms and predict maintenance needs based on the actual number of alarms combined with the alarm interval.

[0007] Further, the monitoring module includes: a first temperature sensor, a second temperature sensor, a dividing unit and an infrared sensor; The first temperature sensor is used to obtain a first real-time temperature in the skid-mounted electronic control integrated device; The second temperature sensor is used to obtain a second real-time temperature outside the skid-mounted electronic control integrated device; The dividing unit is used to evenly divide the entire area within the skid-mounted electric-control integrated device to form a plurality of sub-areas; The infrared sensor is used to scan each sub-area to obtain a real-time temperature distribution image of each sub-area; Wherein, the real-time monitoring parameters include: the first real-time temperature, the second real-time temperature and the real-time temperature distribution image.

[0008] Further, the analysis module includes: a judgment unit and a determination unit; The judging unit is configured to judge whether a first type of HVAC anomaly exists according to the first real-time temperature and the second real-time temperature, and to judge whether a second type of HVAC anomaly exists according to the real-time temperature distribution image; The determination unit determines that the actual abnormality type is a temperature difference shock abnormality type based on the existence of the first type of HVAC abnormality, determines that the actual abnormality type is a temperature gradient abnormality type based on the existence of the second type of HVAC abnormality, and determines that the actual abnormality type is a multi-factor abnormality type based on the existence of both the first type of HVAC abnormality and the second type of HVAC abnormality; Among them, the actual abnormality type includes: the temperature difference shock abnormality type, the temperature gradient abnormality type and the multi-factor abnormality type.

[0009] Further, the judgment unit includes: a calculation subunit and a first decision subunit; The calculation subunit is used to calculate an actual temperature difference according to the first real-time temperature and the second real-time temperature; The first decision subunit is used to determine whether the type of HVAC anomaly exists based on the actual temperature difference and a preset standard temperature difference; The actual temperature difference is the absolute value of the difference between the first real-time temperature and the second real-time temperature.

[0010] Further, the first decision subunit includes: a normal output subunit and an abnormal output subunit; The normal output subunit determines that the type of HVAC abnormality does not exist when the actual temperature difference is less than or equal to the standard temperature difference; The abnormality output subunit determines that the type of HVAC abnormality exists when the actual temperature difference is greater than the standard temperature difference.

[0011] Furthermore, the judgment unit further comprises: an identification subunit and a second decision subunit; The identification subunit is used to identify the real-time temperature distribution image to determine the abnormal temperature distribution ratio in the actual temperature distribution image; The second decision subunit is used to determine whether the sub-area has the second type of HVAC anomaly according to the abnormal temperature distribution ratio.

[0012] Furthermore, the analysis module further comprises: a marking unit and an evaluation unit; The marking unit is used to mark each sub-region as the second type of HVAC anomaly to obtain a number of abnormal sub-regions, and record the number of each abnormal sub-region to obtain the actual number of the second type of anomalies; The evaluation unit is used to determine the actual abnormality level according to the actual abnormality type and the actual number of the second type of abnormalities.

[0013] Further, the evaluation unit includes: a scoring subunit and a judging subunit; The scoring subunit calculates an actual anomaly score according to the actual anomaly type combined with the actual number of the second type anomalies when the actual anomaly type is the temperature gradient anomaly type or the multi-factor anomaly type; The judging subunit is used to determine the actual abnormality level according to the actual abnormality type in combination with the actual abnormality score.

[0014] Furthermore, the storage module includes: a comparison unit, an adjustment unit and an alarm unit; The comparison unit is used to calculate the actual number difference according to the actual number of abnormalities combined with a preset standard number of abnormalities; the adjusting unit, which determines to adjust the initial rotation speed of the target fan to obtain the actual rotation speed when the actual number difference is less than a preset number evaluation value; The alarm unit sends an alarm signal when the actual number difference is greater than or equal to the number evaluation value and the actual abnormal number is greater than the standard abnormal number; Wherein, when the actual number difference is greater than or equal to the number evaluation value and the actual abnormal number is less than the standard abnormal number, it is determined that the skid-mounted electronic control integrated device is normal.

[0015] Further, the management module includes: a recording unit and a prediction unit; The recording unit is used to record the actual number of alarms and the actual number of intervals in which the alarm interval is less than or equal to a preset standard interval; The prediction unit is used to determine the maintenance requirement as modifying the initial monitoring cycle or shutting down for inspection according to the actual alarm number and the actual interval number.

[0016] Compared with the prior art, the beneficial effects of the present invention are that the present invention ensures continuous monitoring by acquiring the operating parameters of the device in real time, which helps to discover potential problems in time; by monitoring parameters in real time, it can intelligently judge HVAC abnormalities, and determine the type and level of abnormalities, thereby improving the accuracy and efficiency of fault diagnosis; the working mode of the fan and electric shutters is adjusted according to the abnormality type and real-time parameters, thereby realizing precise control of the device and optimizing the operating effect of the system; recording the number of abnormalities and adjusting the fan speed or alarm accordingly, thereby facilitating preventive maintenance, reducing sudden failures, and extending the service life of the equipment; recording the number of alarms and predicting maintenance needs, thereby realizing automated management of the device, reducing manual intervention, and reducing operating costs; reducing safety risks through real-time monitoring and rapid response to abnormalities; automated abnormality analysis and execution measures improve the overall operating efficiency of the system; adjusting the equipment working mode according to real-time monitoring parameters helps to save energy and reduce consumption; through preventive maintenance, the reliability and stability of the system are enhanced; and by recording and analyzing the number of alarms, it is easy to predict and plan maintenance work, thereby reducing maintenance costs.

[0017] In particular, the first temperature sensor and the second temperature sensor monitor the internal and external temperatures respectively, providing accurate temperature data, which is helpful to accurately judge the operating status of the device; the division unit divides the interior of the device into several sub-areas, and combines the infrared sensor to scan the real-time temperature distribution image of each sub-area, thereby realizing the refined monitoring of the temperature distribution inside the device; it can comprehensively judge different types of HVAC anomalies based on the internal and external temperature difference and the temperature distribution image, thereby improving the comprehensiveness and accuracy of the analysis; through the comprehensive analysis of the internal and external temperature difference and temperature distribution, it can more accurately diagnose temperature difference shock anomalies, temperature gradient anomalies and multi-factor anomalies, thereby improving the accuracy of fault diagnosis; real-time monitoring and abnormality judgment enable the system to detect potential problems in time and issue early warnings, allowing corresponding measures to be taken automatically to prevent the problem from worsening; by determining the type of abnormality, maintenance plans can be formulated more specifically, maintenance efficiency can be improved, and unnecessary maintenance costs can be reduced; early detection and handling of temperature abnormalities can help maintain stable operation of the device and reduce device shutdowns caused by temperature problems.

[0018] In particular, the real-time calculation of the actual temperature difference between the inside and outside temperatures provides an accurate data basis for subsequent abnormality judgments; by comparing the actual temperature difference with the preset standard temperature difference, a standardized basis for judging a type of HVAC abnormality is provided; the real-time temperature distribution image can be analyzed to identify the abnormal temperature distribution ratio, providing important information for the judgment of type II HVAC abnormalities; the judgment of whether a type II HVAC abnormality exists in the sub-area is based on the abnormal temperature distribution ratio, which improves the meticulousness and accuracy of abnormality judgments; through precise temperature difference calculation and image analysis, HVAC abnormalities can be diagnosed more accurately, improving the accuracy of fault diagnosis; timely detection and handling of temperature abnormalities helps to maintain stable operation of equipment and improve equipment performance; reduce equipment damage caused by temperature abnormalities, extend the service life of equipment, and reduce the frequency and cost of equipment replacement.

[0019] In particular, by accurately identifying and marking the sub-areas of the second type of HVAC anomalies and recording the number of abnormal sub-areas, a basis is provided for subsequent anomaly assessment; by calculating the actual anomaly score, a quantitative assessment of the abnormal situation is achieved, which helps to more accurately judge the severity of the anomaly; according to the actual anomaly type and the actual anomaly score, the actual anomaly level can be clearly divided, providing guidance for subsequent processing and response; through precise anomaly identification and quantitative assessment, the severity of HVAC anomalies can be more accurately diagnosed, improving the accuracy of fault diagnosis; timely detection and handling of temperature difference anomalies helps to maintain stable operation of equipment and improve equipment performance; reduce equipment damage caused by temperature difference anomalies, extend equipment service life, and reduce the frequency and cost of equipment replacement; provide a more accurate, comprehensive and efficient means of abnormality assessment for skid-mounted integrated electronic control devices.

[0020] In particular, by automatically adjusting the actual working modes of the target fans and electric shutters according to different actual abnormality types and working modes, intelligent control and adaptive adjustment of the device are achieved; by accurately adjusting the working modes of fans and shutters, the operation effect of the system is optimized and the energy utilization efficiency is improved; adjusting the equipment working mode according to the actual abnormality type and working mode helps to maintain the stable operation of the device; automatically adjusting the equipment working mode helps to quickly respond to and handle HVAC abnormalities, improving fault handling efficiency; adjusting the equipment working mode according to the actual abnormality type and working mode can better adapt to different environmental conditions and ensure the stable operation of the device.

[0021] In particular, by automatically adjusting the initial speed of the target fan according to the difference between the actual number of abnormalities and the standard number of abnormalities, the system performance and energy utilization can be optimized. According to the comparison between the actual number of abnormalities and the standard number of abnormalities, an alarm signal can be issued and corresponding measures can be taken in time. Through automatic comparison and adjustment, the need for manual intervention is reduced, and the automated management of the device is realized. By automatically adjusting the fan speed, it helps to maintain the stable operation of the device. Through the automatic adjustment and early warning mechanism, the reliability of the system is improved, and the system failures caused by human errors are reduced. The automatic adjustment and early warning mechanism helps to quickly respond to and handle abnormal situations, and improves the efficiency of fault handling. It provides a more intelligent, efficient and stable operation guarantee for the skid-mounted integrated electronic control device.

[0022] In particular, by recording the actual number of alarms and the alarm intervals, data support is provided for subsequent maintenance demand forecasts; maintenance needs can be predicted based on the actual number of alarms and the number of intervals, including corrections to the initial monitoring cycle or shutdown inspections, thereby improving the scientificity and rationality of maintenance plans; by predicting maintenance needs, maintenance plans can be arranged more effectively, unnecessary maintenance costs can be reduced, and maintenance efficiency can be improved; through timely maintenance and inspections, the risk of potential failures can be reduced and the stability and reliability of the system can be improved; by predicting maintenance needs, potential failures can be handled more effectively, thereby improving failure handling efficiency. BRIEF DESCRIPTION OF THE DRAWINGS

[0023] Figure 1 It is a structural schematic diagram of an intelligent HVAC system applied to a skid-mounted electric control integrated device according to an embodiment of the present invention; Figure 2 It is a structural schematic diagram of a monitoring module in an intelligent HVAC system applied to a skid-mounted integrated electric control device according to an embodiment of the present invention; Figure 3 It is a structural schematic diagram of an analysis module in an intelligent HVAC system applied to a skid-mounted integrated electric control device according to an embodiment of the present invention; Figure 4 It is a structural schematic diagram of a storage module in an intelligent HVAC system applied to a skid-mounted electric control integrated device according to an embodiment of the present invention; The figure includes: 1-monitoring module, 2-analysis module, 3-execution module, 4-storage module and 5-management module. DETAILED DESCRIPTION

[0024] In order to make the objects and advantages of the present invention more clearly understood, the present invention is further described below in conjunction with embodiments; it should be understood that the specific embodiments described herein are only used to explain the present invention and are not used to limit the present invention.

[0025] The preferred embodiments of the present invention are described below with reference to the accompanying drawings. It should be understood by those skilled in the art that these embodiments are only used to explain the technical principles of the present invention and are not intended to limit the protection scope of the present invention.

[0026] It should be noted that, in the description of the present invention, terms such as "up", "down", "left", "right", "inside" and "outside" indicating directions or positional relationships are based on the directions or positional relationships shown in the drawings. This is merely for the convenience of description and does not indicate or imply that the device or element must have a specific orientation, be constructed and operated in a specific orientation. Therefore, it cannot be understood as a limitation on the present invention.

[0027] An embodiment of the present invention provides an intelligent HVAC system applied to a skid-mounted electric control integrated device, the system comprising: Monitoring module 1, which is used to monitor the skid-mounted electric control integrated device in real time to obtain real-time monitoring parameters; An analysis module 2, which is used to determine whether the skid-mounted electric control integrated device has a HVAC anomaly based on the real-time monitoring parameters, and when the HVAC anomaly exists, determine the actual anomaly type and actual anomaly level based on the real-time monitoring parameters; An execution module 3 is used to determine the actual working modes of the target fan and the electric blinds according to the actual abnormality type and the real-time monitoring parameters, and to determine the specific execution mode of the electric blinds in different working modes according to the actual abnormality level; A storage module 4, which is used to obtain the actual number of abnormalities of the HVAC abnormality occurring within a preset initial monitoring period, and adjust the initial speed of the target fan according to the actual number of abnormalities, or issue an alarm; The management module 5 is used to record the actual number of alarms and predict maintenance needs based on the actual number of alarms combined with the alarm interval.

[0028] Specifically, the embodiments of the present invention ensure continuous monitoring by acquiring the operating parameters of the device in real time, which helps to discover potential problems in a timely manner; by monitoring the parameters in real time, it can intelligently judge HVAC abnormalities, determine the type and level of abnormalities, and improve the accuracy and efficiency of fault diagnosis; adjust the working mode of the fan and electric shutters according to the abnormality type and real-time parameters, realize precise control of the device, and optimize the operating effect of the system; record the number of abnormalities and adjust the fan speed or alarm accordingly, which helps preventive maintenance, reduce sudden failures, and extend the service life of the equipment; record the number of alarms and predict maintenance needs, realize automated management of the device, reduce manual intervention, and reduce operating costs; reduce safety risks through real-time monitoring and rapid response to abnormalities; automated abnormality analysis and execution measures improve the overall operating efficiency of the system; adjust the equipment working mode according to the real-time monitoring parameters, which helps to save energy and reduce consumption; enhance the reliability and stability of the system through preventive maintenance; and facilitate the prediction and planning of maintenance work by recording and analyzing the number of alarms, thereby reducing maintenance costs.

[0029] Specifically, the monitoring module 1 in this embodiment includes: a first temperature sensor, a second temperature sensor, a dividing unit and an infrared sensor; The first temperature sensor is used to obtain a first real-time temperature in the skid-mounted electronic control integrated device; The second temperature sensor is used to obtain a second real-time temperature outside the skid-mounted electronic control integrated device; The dividing unit is used to evenly divide the entire area within the skid-mounted electric-control integrated device to form a plurality of sub-areas; The infrared sensor is used to scan each sub-area to obtain a real-time temperature distribution image of each sub-area; Wherein, the real-time monitoring parameters include: the first real-time temperature, the second real-time temperature and the real-time temperature distribution image.

[0030] Specifically, the analysis module 2 in this embodiment includes: a judgment unit and a determination unit; The judging unit is configured to judge whether a first type of HVAC anomaly exists according to the first real-time temperature and the second real-time temperature, and to judge whether a second type of HVAC anomaly exists according to the real-time temperature distribution image; The determination unit determines that the actual abnormality type is a temperature difference shock abnormality type based on the existence of the first type of HVAC abnormality, determines that the actual abnormality type is a temperature gradient abnormality type based on the existence of the second type of HVAC abnormality, and determines that the actual abnormality type is a multi-factor abnormality type based on the existence of both the first type of HVAC abnormality and the second type of HVAC abnormality; Among them, the actual abnormality type includes: the temperature difference shock abnormality type, the temperature gradient abnormality type and the multi-factor abnormality type.

[0031] Specifically, the embodiment of the present invention monitors the internal and external temperatures respectively through the first temperature sensor and the second temperature sensor, provides accurate temperature data, and helps to accurately judge the operating status of the device; the division unit divides the interior of the device into several sub-areas, and combines the infrared sensor to scan the real-time temperature distribution image of each sub-area, thereby realizing refined monitoring of the temperature distribution inside the device; it can comprehensively judge different types of HVAC anomalies based on the internal and external temperature difference and the temperature distribution image, thereby improving the comprehensiveness and accuracy of the analysis; through the comprehensive analysis of the internal and external temperature difference and temperature distribution, it can more accurately diagnose temperature difference shock anomalies, temperature gradient anomalies and multi-factor anomalies, thereby improving the accuracy of fault diagnosis; real-time monitoring and anomaly judgment enable the system to detect potential problems in time and issue early warnings, allowing corresponding measures to be taken automatically to prevent problems from worsening; by determining the type of anomaly, a maintenance plan can be formulated more specifically, maintenance efficiency can be improved, and unnecessary maintenance costs can be reduced; early detection and handling of temperature anomalies helps to maintain stable operation of the device and reduce device shutdowns caused by temperature problems.

[0032] Specifically, the judgment unit in this embodiment includes: a calculation subunit and a first decision subunit; The calculation subunit is used to calculate an actual temperature difference according to the first real-time temperature and the second real-time temperature; The first decision subunit is used to determine whether the type of HVAC anomaly exists based on the actual temperature difference and a preset standard temperature difference; Wherein, the actual temperature difference is the absolute value of the difference between the first real-time temperature and the second real-time temperature; actual temperature difference=|first real-time temperature-second real-time temperature|; The first decision subunit includes: a normal output subunit and an abnormal output subunit; The normal output subunit determines that the type of HVAC abnormality does not exist when the actual temperature difference is less than or equal to the standard temperature difference; The abnormality output subunit determines that the type of HVAC abnormality exists when the actual temperature difference is greater than the standard temperature difference; In this embodiment, the standard temperature difference is used to measure the environmental adaptability of each high-precision instrument in the skid-mounted electronic control integrated device; the standard temperature difference is set between 5°C and 15°C, and the adaptability is selected and adjusted according to performance requirements and environmental requirements; The judgment unit further includes: an identification subunit and a second decision subunit; The identification subunit is used to identify the real-time temperature distribution image to determine the abnormal temperature distribution ratio in the actual temperature distribution image; The second decision subunit is used to determine whether the sub-area has the second type of HVAC anomaly according to the abnormal temperature distribution ratio; Wherein, when the abnormal temperature distribution accounts for more than or equal to 30%, it is determined that the sub-area has the second type of HVAC anomaly; When the abnormal temperature distribution accounts for less than 30%, it is determined that the sub-area does not have the second type of HVAC abnormality.

[0033] Specifically, the embodiment of the present invention calculates the actual temperature difference in real time through the internal and external temperature difference, thereby providing an accurate data basis for subsequent abnormality judgment; by comparing the actual temperature difference with the preset standard temperature difference, a standardized basis for judging a type of HVAC abnormality is provided; the real-time temperature distribution image can be analyzed to identify the abnormal temperature distribution ratio, providing important information for the judgment of type II HVAC abnormalities; the sub-area is judged whether type II HVAC abnormalities exist based on the abnormal temperature distribution ratio, thereby improving the meticulousness and accuracy of abnormality judgment; through precise temperature difference calculation and image analysis, HVAC abnormalities can be diagnosed more accurately, thereby improving the accuracy of fault diagnosis; timely detection and processing of temperature abnormalities helps to maintain stable operation of equipment and improve equipment performance; equipment damage caused by temperature abnormalities is reduced, the service life of equipment is extended, and the frequency and cost of equipment replacement are reduced.

[0034] Specifically, the analysis module 2 in this embodiment further includes: a marking unit and an evaluation unit; The marking unit is used to mark each sub-region as the second type of HVAC anomaly to obtain a number of abnormal sub-regions, and record the number of each abnormal sub-region to obtain the actual number of the second type of anomalies; The evaluation unit is used to determine the actual abnormality level according to the actual abnormality type and the actual number of the second type of abnormalities; The evaluation unit includes: a scoring subunit and a judging subunit; The scoring subunit calculates an actual anomaly score according to the actual anomaly type combined with the actual number of the second type anomalies when the actual anomaly type is the temperature gradient anomaly type or the multi-factor anomaly type; Based on the fact that the actual abnormality type is the temperature gradient abnormality type, The actual anomaly score of the first category = the temperature gradient anomaly type compensation parameter × the actual number of the second category anomalies; When the actual abnormality type is the multi-factor abnormality type, The actual abnormal score of the second category = multi-factor abnormal type compensation parameter × the actual number of second category abnormalities; The judging subunit is configured to determine the actual abnormality level according to the actual abnormality type in combination with the actual abnormality score; Wherein, based on the fact that the actual abnormality type is the temperature difference shock abnormality type, the evaluation unit determines that the actual abnormality level is level one; Based on the fact that the actual abnormality type is the temperature gradient abnormality type, If the actual anomaly score of a class is less than the preset standard anomaly score of a class, the scoring subunit determines that the actual anomaly level is level 2; If the actual anomaly score of the first category is greater than or equal to the standard anomaly score of the first category, the scoring subunit determines that the actual anomaly level is level three; When the actual abnormality type is the multi-factor abnormality type, If the second category actual anomaly score is less than the preset second category standard anomaly score, the scoring subunit determines that the actual anomaly level is level four; If the second category actual anomaly score is greater than or equal to the second category standard anomaly score, the scoring subunit determines that the actual anomaly level is level five; In this embodiment, the temperature gradient anomaly type compensation parameter is set to 0.7; the multi-factor anomaly type compensation parameter is set to 0.9; the first type of standard anomaly score is used to measure the environmental adaptability of each high-precision instrument in the skid-mounted electronic control integrated device when the actual anomaly type is a temperature gradient anomaly type; the second type of standard anomaly score is used to measure the environmental adaptability of each high-precision instrument in the skid-mounted electronic control integrated device when the actual anomaly type is a multi-factor anomaly type.

[0035] Specifically, the embodiment of the present invention provides a basis for subsequent abnormality evaluation by accurately identifying and marking the sub-areas of the second type of HVAC abnormalities and recording the number of abnormal sub-areas; by calculating the actual abnormality score, a quantitative evaluation of the abnormal situation is achieved, which helps to more accurately judge the severity of the abnormality; according to the actual abnormality type and the actual abnormality score, the actual abnormality level can be clearly divided, providing guidance for subsequent processing and response; through precise abnormality identification and quantitative evaluation, the severity of HVAC abnormalities can be more accurately diagnosed, improving the accuracy of fault diagnosis; timely detection and processing of temperature difference abnormalities help to maintain stable operation of equipment and improve equipment performance; reduce equipment damage caused by temperature difference abnormalities, extend the service life of equipment, and reduce the frequency and cost of equipment replacement; provide a more accurate, comprehensive and efficient abnormality evaluation method for skid-mounted integrated electronic control devices.

[0036] Specifically, the execution module 3 in this embodiment includes: a first mode execution subunit, a second mode execution subunit and a third mode execution subunit; The first mode execution subunit determines that the actual working mode of the target fan is exhaust mode when the actual abnormality type is the temperature difference shock abnormality type and the first real-time temperature is greater than the second real-time temperature; determines that the actual working mode of the target fan is air supply mode when the actual abnormality type is the temperature difference shock abnormality type and the first real-time temperature is less than the second real-time temperature; determines that the actual working mode of the electric blind is fully open when the actual abnormality type is the temperature difference shock abnormality type; The second mode execution subunit determines that the actual working mode of the target fan is a wind gathering mode based on the actual abnormality type being the temperature gradient abnormality type; and determines that the actual working mode of the electric blind is half-open based on the actual abnormality type being the temperature gradient abnormality type. The third mode execution subunit determines that the actual working mode of the target fan is: centralized exhaust mode based on the fact that the actual abnormality type is the multi-factor abnormality type and the first real-time temperature is greater than the second real-time temperature; determines that the actual working mode of the target fan is: centralized air supply mode based on the fact that the actual abnormality type is the multi-factor abnormality type and the first real-time temperature is less than the second real-time temperature; determines that the actual working mode of the electric blinds is: alternating blinds opening mode based on the fact that the actual abnormality type is the multi-factor abnormality type.

[0037] Specifically, the embodiments of the present invention realize intelligent control and adaptive regulation of the device by automatically adjusting the actual working modes of the target fans and electric shutters according to different actual abnormality types and working modes; optimize the operation effect of the system and improve the energy utilization efficiency by accurately adjusting the working modes of the fans and shutters; adjust the working mode of the equipment according to the actual abnormality type and working mode to help maintain the stable operation of the device; automatically adjust the working mode of the equipment to help quickly respond to and handle HVAC abnormalities, thereby improving fault handling efficiency; adjust the working mode of the equipment according to the actual abnormality type and working mode to better adapt to different environmental conditions and ensure the stable operation of the device.

[0038] Specifically, the storage module 4 in this embodiment includes: a comparison unit, an adjustment unit and an alarm unit; The comparison unit is used to calculate the actual number difference according to the actual number of abnormalities combined with a preset standard number of abnormalities; The actual number difference = |actual abnormal number - standard abnormal number|; the adjusting unit, which determines to adjust the initial rotation speed V0 of the target fan to obtain the actual rotation speed V1 when the actual number difference is less than a preset number evaluation value; V1=V0×[1+(number of evaluation value-actual number of difference) / number of evaluation value]; The alarm unit sends an alarm signal when the actual number difference is greater than or equal to the number evaluation value and the actual abnormal number is greater than the standard abnormal number; Wherein, when the actual number difference is greater than or equal to the number evaluation value and the actual abnormal number is less than the standard abnormal number, it is determined that the skid-mounted electric control integrated device is normal; In this embodiment, the standard abnormal number is used to measure the stability of the skid-mounted electronic control integrated device during the initial monitoring period; the number evaluation value is used to measure the abnormal risk of the skid-mounted electronic control integrated device during the initial monitoring period.

[0039] Specifically, the embodiment of the present invention automatically adjusts the initial rotation speed of the target fan according to the difference between the actual number of abnormalities and the standard number of abnormalities to optimize system performance and energy utilization, and can send out an alarm signal and take corresponding measures in time according to the comparison between the actual number of abnormalities and the standard number of abnormalities; through automatic comparison and adjustment, the need for manual intervention is reduced, and automated management of the device is achieved; through automatic adjustment of the fan speed, it helps to maintain stable operation of the device, and through the automatic adjustment and early warning mechanism, the reliability of the system is improved, and system failures caused by human errors are reduced; the automatic adjustment and early warning mechanism helps to quickly respond to and handle abnormal situations, and improves fault handling efficiency; it provides a more intelligent, efficient and stable operation guarantee for the skid-mounted integrated electronic control device.

[0040] Specifically, the management module 5 in this embodiment includes: a recording unit and a prediction unit; The recording unit is used to record the actual number of alarms and the actual number of intervals in which the alarm interval is less than or equal to a preset standard interval; The prediction unit is used to determine the maintenance requirement as modifying the initial monitoring cycle or shutting down for inspection according to the actual alarm number and the actual interval number; Wherein, when the actual alarm number is greater than or equal to the preset standard alarm number, it is determined to perform a shutdown inspection; When the actual alarm number is less than the standard alarm number, determining whether the actual interval number is greater than a preset standard interval number; If the actual interval number is greater than or equal to the standard interval number, it is determined to perform a shutdown inspection; If the actual interval number is less than the standard interval number, a correction signal is sent to correct the initial monitoring period T0 to obtain the actual monitoring period T1; T1=T0×[1-(standard interval times-actual interval times) / standard interval times]; In this embodiment, the initial monitoring period is set to 30 days-45 days; the standard alarm times are set to 4-6 times; the standard interval is set to 1 day-3 days; the standard interval times are set to 3 times; and adaptive selection and adjustment are performed according to performance requirements and environmental requirements.

[0041] Specifically, the embodiments of the present invention provide data support for subsequent maintenance demand prediction by recording the actual number of alarms and alarm intervals; maintenance needs can be predicted based on the actual number of alarms and intervals, including corrections to the initial monitoring cycle or shutdown inspections, thereby improving the scientificity and rationality of maintenance plans; by predicting maintenance needs, maintenance plans can be arranged more effectively, unnecessary maintenance costs can be reduced, and maintenance efficiency can be improved; through timely maintenance and inspections, the risk of potential failures can be reduced and the stability and reliability of the system can be improved; by predicting maintenance needs, potential failures can be handled more effectively, thereby improving failure handling efficiency.

[0042] The calculation compensation parameters and the calculation adjustment parameters described in the present invention have two functions: one is to balance the left and right dimensions of the formula, and the other is to adjust the numerical results. No specific assignment is performed in this embodiment. In addition, the calculation formulas in this embodiment are used to intuitively reflect the adjustment relationship between the numerical values, such as positive correlation and negative correlation. Unless otherwise specified, the parameter values ​​that are not specifically limited to numerical values ​​are all positive.

[0043] So far, the technical solutions of the present invention have been described in conjunction with the preferred embodiments shown in the accompanying drawings. However, it is easy for those skilled in the art to understand that the protection scope of the present invention is obviously not limited to these specific embodiments. Without departing from the principle of the present invention, those skilled in the art can make equivalent changes or substitutions to the relevant technical features, and the technical solutions after these changes or substitutions will fall within the protection scope of the present invention.

[0044] The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. For those skilled in the art, the present invention may have various modifications and variations. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention shall be included in the protection scope of the present invention.

Claims

1. An intelligent HVAC system for a skid-mounted integrated electric control device, It is characterized in that include: A monitoring module, which is used to monitor the skid-mounted electric control integrated device in real time to obtain real-time monitoring parameters; an analysis module, which is used to determine whether the skid-mounted electric control integrated device has a HVAC anomaly based on the real-time monitoring parameters, and when the HVAC anomaly exists, determine the actual anomaly type and actual anomaly level based on the real-time monitoring parameters; An execution module, which is used to determine the actual working mode of the target fan and the electric shutter respectively according to the actual abnormality type and the real-time monitoring parameters; A storage module, which is used to obtain the actual number of abnormalities of the HVAC abnormality occurring within a preset initial monitoring period, and adjust the initial speed of the target fan according to the actual number of abnormalities, or issue an alarm; The management module is used to record the actual number of alarms and predict maintenance needs based on the actual number of alarms combined with the alarm interval.

2. The intelligent HVAC system for the skid-mounted integrated electronic control device according to claim 1, It is characterized in that The monitoring module includes: a first temperature sensor, a second temperature sensor, a dividing unit and an infrared sensor; The first temperature sensor is used to obtain a first real-time temperature in the skid-mounted electronic control integrated device; The second temperature sensor is used to obtain a second real-time temperature outside the skid-mounted electronic control integrated device; The dividing unit is used to evenly divide the entire area within the skid-mounted electric-control integrated device to form a plurality of sub-areas; The infrared sensor is used to scan each sub-area to obtain a real-time temperature distribution image of each sub-area; Wherein, the real-time monitoring parameters include: the first real-time temperature, the second real-time temperature and the real-time temperature distribution image.

3. The intelligent HVAC system for the skid-mounted integrated electronic control device according to claim 2, It is characterized in that The analysis module includes: a judgment unit and a determination unit; The judging unit is configured to judge whether a first type of HVAC anomaly exists according to the first real-time temperature and the second real-time temperature, and to judge whether a second type of HVAC anomaly exists according to the real-time temperature distribution image; The determination unit determines that the actual abnormality type is a temperature difference shock abnormality type based on the existence of the first type of HVAC abnormality, determines that the actual abnormality type is a temperature gradient abnormality type based on the existence of the second type of HVAC abnormality, and determines that the actual abnormality type is a multi-factor abnormality type based on the existence of both the first type of HVAC abnormality and the second type of HVAC abnormality; Among them, the actual abnormality type includes: the temperature difference shock abnormality type, the temperature gradient abnormality type and the multi-factor abnormality type.

4. The intelligent HVAC system for the skid-mounted integrated electric control device according to claim 3, It is characterized in that The judgment unit includes: a calculation subunit and a first decision subunit; The calculation subunit is used to calculate an actual temperature difference according to the first real-time temperature and the second real-time temperature; The first decision subunit is used to determine whether the type of HVAC anomaly exists based on the actual temperature difference and a preset standard temperature difference; The actual temperature difference is the absolute value of the difference between the first real-time temperature and the second real-time temperature.

5. The intelligent HVAC system for the skid-mounted integrated electric control device according to claim 4, It is characterized in that The first decision subunit includes: a normal output subunit and an abnormal output subunit; The normal output subunit determines that the type of HVAC abnormality does not exist when the actual temperature difference is less than or equal to the standard temperature difference; The abnormality output subunit determines that the type of HVAC abnormality exists when the actual temperature difference is greater than the standard temperature difference.

6. The intelligent HVAC system for the skid-mounted integrated electric control device according to claim 5, It is characterized in that The judgment unit further includes: an identification subunit and a second decision subunit; The identification subunit is used to identify the real-time temperature distribution image to determine the abnormal temperature distribution ratio in the actual temperature distribution image; The second decision subunit is used to determine whether the sub-area has the second type of HVAC anomaly according to the abnormal temperature distribution ratio.

7. The intelligent HVAC system for the skid-mounted integrated electric control device according to claim 6, It is characterized in that The analysis module further comprises: a marking unit and an evaluation unit; The marking unit is used to mark each sub-region as the second type of HVAC anomaly to obtain a number of abnormal sub-regions, and record the number of each abnormal sub-region to obtain the actual number of the second type of anomalies; The evaluation unit is used to determine the actual abnormality level according to the actual abnormality type and the actual number of the second type of abnormalities.

8. The intelligent HVAC system for the skid-mounted electric control integrated device according to claim 7, It is characterized in that The evaluation unit includes: a scoring subunit and a judging subunit; The scoring subunit calculates an actual anomaly score according to the actual anomaly type combined with the actual number of the second type anomalies when the actual anomaly type is the temperature gradient anomaly type or the multi-factor anomaly type; The judging subunit is used to determine the actual abnormality level according to the actual abnormality type in combination with the actual abnormality score.

9. The intelligent HVAC system applied to the skid-mounted electric control integrated device according to claim 8, It is characterized in that The storage module includes: a comparison unit, an adjustment unit and an alarm unit; The comparison unit is used to calculate the actual number difference according to the actual number of abnormalities combined with a preset standard number of abnormalities; the adjusting unit, which determines to adjust the initial rotation speed of the target fan to obtain the actual rotation speed when the actual number difference is less than a preset number evaluation value; The alarm unit sends an alarm signal when the actual number difference is greater than or equal to the number evaluation value and the actual abnormal number is greater than the standard abnormal number; Wherein, when the actual number difference is greater than or equal to the number evaluation value and the actual abnormal number is less than the standard abnormal number, it is determined that the skid-mounted electronic control integrated device is normal.

10. The intelligent HVAC system applied to the skid-mounted electric control integrated device according to claim 9, It is characterized in that The management module includes: a recording unit and a prediction unit; The recording unit is used to record the actual number of alarms and the actual number of intervals in which the alarm interval is less than or equal to a preset standard interval; The prediction unit is used to determine the maintenance requirement as modifying the initial monitoring cycle or shutting down for inspection according to the actual alarm number and the actual interval number.

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