Fault diagnosis method, device and equipment of building electromechanical system, medium and product

Abstract

The invention provides a fault diagnosis method, device and equipment for a building electromechanical system, a medium and a product, and relates to the technical field of fault diagnosis, and the method comprises the steps: obtaining system diagnosis data of the building electromechanical system; performing preliminary fault diagnosis on the system diagnosis data to obtain a preliminary fault diagnosis result; under the condition that the preliminary fault diagnosis result meets a preset result, determining target diagnosis data according to the preliminary fault diagnosis result and the system diagnosis data; and performing fine fault diagnosis on the target diagnosis data to obtain a system fault diagnosis result of the building electromechanical system. According to the technical scheme, anomaly analysis of the system diagnosis data is firstly carried out based on fault preliminary diagnosis, the target diagnosis data is determined from the system diagnosis data, then fault reason analysis is further carried out through fault fine diagnosis, and therefore the system fault diagnosis result of the building electromechanical system is determined; the fault diagnosis effect is improved, and accurate fault diagnosis is realized.

Description

Technical Field

[0001] The present invention relates to the technical field of fault diagnosis, and in particular, to a fault diagnosis method, device, equipment, medium and product for a building electromechanical system. Background Art

[0002] With the increase in the complexity of building electromechanical systems, as the building scale and the degree of intelligence improve, the structure of the electromechanical system becomes more complex, the subsystems are interrelated, and the fault diagnosis of the electromechanical system becomes particularly important.

[0003] Currently, in the prior art, for the fault diagnosis of electromechanical systems, traditional single-fault diagnosis classification is usually adopted, and whether there is a fault in the electromechanical system is directly judged by the obtained system data. It is impossible to make a deeper problem judgment, and it is impossible to diagnose the root cause of the problem through the phenomenon, resulting in unprofessional problem diagnosis and reduced diagnosis effect. Summary of the Invention

[0004] The present invention provides a fault diagnosis method, device, equipment, medium and product for a building electromechanical system, which is used to solve the defect in the prior art that whether there is a fault in the electromechanical system is directly judged according to the obtained system data, resulting in the inability to diagnose the root cause of the problem through the phenomenon and reduced diagnosis effect. Based on the preliminary fault diagnosis, the abnormal analysis of the system diagnosis data is first performed, the target diagnosis data is determined from the system diagnosis data, and then the fault cause analysis is further performed through the fine fault diagnosis, so as to determine the system fault diagnosis result of the building electromechanical system. Based on the two-layer fault diagnosis, the fault diagnosis effect is improved, and the accurate fault diagnosis is realized.

[0005] The present invention provides a fault diagnosis method for a building electromechanical system, including the following steps.

[0006] Obtain the system diagnosis data of the building electromechanical system.

[0007] Perform a preliminary fault diagnosis on the system diagnosis data to obtain a preliminary fault diagnosis result; wherein, the preliminary fault diagnosis is a diagnosis for judging whether there is an abnormality in the process of obtaining the system diagnosis data.

[0008] When the preliminary fault diagnosis result meets the preset result, determine the target diagnosis data according to the preliminary fault diagnosis result and the system diagnosis data; wherein, the preset result is a diagnosis result set in advance.

[0009] Perform a fine fault diagnosis on the target diagnosis data to obtain the system fault diagnosis result of the building electromechanical system; wherein, the fine fault diagnosis is a diagnosis for analyzing the fault cause of the target diagnosis data.

[0010] A fault diagnosis method for a building electromechanical system provided by the present invention, the preliminary fault diagnosis includes single data diagnosis and diagnosis of the relationship between data; performing preliminary fault diagnosis on the system diagnosis data to obtain a preliminary fault diagnosis result, including: performing single data diagnosis on the system diagnosis data to obtain a data diagnosis result, and determining candidate diagnosis data according to the data diagnosis result and the system diagnosis data; performing diagnosis of the relationship between data on the candidate diagnosis data to obtain a relationship diagnosis result, and determining preliminary diagnosis data according to the relationship diagnosis result and the candidate diagnosis data; determining the preliminary fault diagnosis result according to the system diagnosis data, the candidate diagnosis data, and the preliminary diagnosis data.

[0011] A fault diagnosis method for a building electromechanical system provided by the present invention, the single data diagnosis includes missing diagnosis, constant value diagnosis, and overlimit diagnosis; the data diagnosis result includes a data missing result, a constant value diagnosis result, and an overlimit diagnosis result; performing single data diagnosis on the system diagnosis data to obtain a data diagnosis result, and determining candidate diagnosis data according to the data diagnosis result and the system diagnosis data, including: performing missing diagnosis on the system diagnosis data to obtain a data missing result, and determining first candidate diagnosis data according to the data missing result and the system diagnosis data; performing constant value diagnosis on the first candidate diagnosis data to obtain a constant value diagnosis result, and determining second candidate diagnosis data according to the constant value diagnosis result and the first candidate diagnosis data; performing overlimit diagnosis on the second candidate diagnosis data to obtain an overlimit diagnosis result, and determining third candidate diagnosis data according to the overlimit diagnosis result and the second candidate diagnosis data; determining the candidate diagnosis data according to the system diagnosis data, the first candidate diagnosis data, the second candidate diagnosis data, and the third candidate diagnosis data.

[0012] A fault diagnosis method for a building electromechanical system provided by the present invention, the fine fault diagnosis includes operation effect diagnosis, control logic diagnosis, control hardware diagnosis, environmental monitoring diagnosis, electrical system diagnosis, pipeline diagnosis, and component diagnosis; performing fine fault diagnosis on the target diagnosis data to obtain a system fault diagnosis result of the building electromechanical system, including: respectively performing operation effect diagnosis, control logic diagnosis, control hardware diagnosis, environmental monitoring diagnosis, electrical system diagnosis, pipeline diagnosis, and component diagnosis on the target diagnosis data to obtain an effect diagnosis result corresponding to the operation effect diagnosis, a logic diagnosis result corresponding to the control logic diagnosis, a hardware diagnosis result corresponding to the control hardware diagnosis, an environmental diagnosis result corresponding to the environmental monitoring diagnosis, an electrical diagnosis result corresponding to the electrical system diagnosis, a pipeline diagnosis result corresponding to the pipeline diagnosis, and a component diagnosis result corresponding to the component diagnosis; determining the system fault diagnosis result of the building electromechanical system according to the effect diagnosis result, the logic diagnosis result, the hardware diagnosis result, the environmental diagnosis result, the electrical diagnosis result, the pipeline diagnosis result, and the component diagnosis result.

[0013] A fault diagnosis method for a building electromechanical system provided by the present invention, wherein the operation effect diagnosis includes safety diagnosis, functionality diagnosis, and energy-saving diagnosis; the control logic diagnosis includes set value diagnosis, controlled parameter control logic diagnosis, special logic diagnosis, association relationship diagnosis, and association logic diagnosis; the environmental monitoring diagnosis includes single-dimensional comfort diagnosis and overall comfort diagnosis; the electrical system diagnosis includes power supply stability diagnosis and distribution system operation diagnosis; the pipeline diagnosis includes water-side pipeline diagnosis, refrigerant pipeline diagnosis, and air-side pipeline diagnosis; the component diagnosis includes fan diagnosis, surface cooler diagnosis, evaporator diagnosis, condenser diagnosis, and water pump diagnosis; respectively perform operation effect diagnosis, control logic diagnosis, control hardware diagnosis, environmental monitoring diagnosis, electrical system diagnosis, pipeline diagnosis, and component diagnosis on the target diagnosis data to obtain the effect diagnosis result corresponding to the operation effect diagnosis, the logic diagnosis result corresponding to the control logic diagnosis, the hardware diagnosis result corresponding to the control hardware diagnosis, the environmental diagnosis result corresponding to the environmental monitoring diagnosis, the electrical diagnosis result corresponding to the electrical system diagnosis, the pipeline diagnosis result corresponding to the pipeline diagnosis, and the component diagnosis result corresponding to the component diagnosis, including: performing safety diagnosis, functionality diagnosis, and energy-saving diagnosis on the target diagnosis data to obtain the effect diagnosis result; performing set value diagnosis, controlled parameter control logic diagnosis, special logic diagnosis, association relationship diagnosis, and association logic diagnosis on the target diagnosis data to obtain the logic diagnosis result; performing control hardware diagnosis on the target diagnosis data to obtain the hardware diagnosis result; performing single-dimensional comfort diagnosis and overall comfort diagnosis on the target diagnosis data to obtain the environmental diagnosis result; performing power supply stability diagnosis and distribution system operation diagnosis on the target diagnosis data to obtain the electrical diagnosis result; performing water-side pipeline diagnosis, refrigerant pipeline diagnosis, and air-side pipeline diagnosis on the target diagnosis data to obtain the pipeline diagnosis result; performing fan diagnosis, surface cooler diagnosis, evaporator diagnosis, condenser diagnosis, and water pump diagnosis on the target diagnosis data to obtain the component diagnosis result.

[0014] A fault diagnosis method for a building electromechanical system provided by the present invention, determining the system fault diagnosis result of the building electromechanical system according to the effect diagnosis result, the logic diagnosis result, the hardware diagnosis result, the environmental diagnosis result, the electrical diagnosis result, the pipeline diagnosis result, and the component diagnosis result, including: determining the number of fault results according to the effect diagnosis result, the logic diagnosis result, the hardware diagnosis result, the environmental diagnosis result, the electrical diagnosis result, the pipeline diagnosis result, and the component diagnosis result; determining the system fault diagnosis result of the building electromechanical system according to the number of fault results and the system diagnosis threshold; wherein, the system diagnosis threshold is a threshold preset for system fault analysis.

[0015] The present invention also provides a fault diagnosis device for a building electromechanical system, including the following modules.

[0016] A data acquisition module, configured to acquire system diagnosis data of the building electromechanical system.

[0017] A preliminary diagnosis module is used to conduct a preliminary fault diagnosis on the system diagnosis data to obtain a preliminary fault diagnosis result; among them, the preliminary fault diagnosis is a diagnosis for judging whether there is an abnormality in the process of obtaining the system diagnosis data.

[0018] A data determination module is used to determine target diagnosis data according to the preliminary fault diagnosis result and the system diagnosis data when the preliminary fault diagnosis result meets a preset result; among them, the preset result is a diagnosis result set in advance.

[0019] A fine diagnosis module is used to conduct a fine fault diagnosis on the target diagnosis data to obtain a system fault diagnosis result of the building electromechanical system; among them, the fine fault diagnosis is a diagnosis for analyzing the fault cause of the target diagnosis data.

[0020] The present invention also provides an electronic device, including a memory, a processor, and a computer program stored on the memory and executable on the processor. When the processor executes the computer program, the fault diagnosis method of any one of the above-mentioned building electromechanical systems is implemented.

[0021] The present invention also provides a non-transitory computer-readable storage medium, on which a computer program is stored. When the computer program is executed by a processor, the fault diagnosis method of any one of the above-mentioned building electromechanical systems is implemented.

[0022] The present invention also provides a computer program product, including a computer program. When the computer program is executed by a processor, the fault diagnosis method of any one of the above-mentioned building electromechanical systems is implemented.

[0023] A fault diagnosis method, device, equipment, medium and product for a building electromechanical system provided by the present invention obtain system diagnosis data of the building electromechanical system; perform preliminary fault diagnosis on the system diagnosis data to obtain a preliminary fault diagnosis result; wherein, the preliminary fault diagnosis is a diagnosis for judging whether there is an abnormality in the process of obtaining the system diagnosis data; in the case that the preliminary fault diagnosis result meets a preset result, determine target diagnosis data according to the preliminary fault diagnosis result and the system diagnosis data; wherein, the preset result is a diagnosis result set in advance; perform fine fault diagnosis on the target diagnosis data to obtain a system fault diagnosis result of the building electromechanical system; wherein, the fine fault diagnosis is a diagnosis for analyzing the cause of the fault for the target diagnosis data. The technical solution of the present invention is used to solve the defect that in the prior art, directly judging whether there is a fault in the electromechanical system according to the obtained system data results in the inability to diagnose the root cause through the phenomenon, and the diagnostic effect is reduced. It realizes abnormal analysis of the system diagnosis data based on the preliminary fault diagnosis first, determines the target diagnosis data from the system diagnosis data, and then further analyzes the cause of the fault through the fine fault diagnosis, so as to determine the system fault diagnosis result of the building electromechanical system. Based on two-layer fault diagnosis, the fault diagnosis effect is improved, and accurate fault diagnosis is realized. BRIEF DESCRIPTION OF THE DRAWINGS

[0024] In order to more clearly illustrate the technical solutions in the present invention or the prior art, the following will briefly introduce the drawings required for use in the description of the embodiments or the prior art. Obviously, the drawings in the following description are some embodiments of the present invention. For those of ordinary skill in the art, other drawings can be obtained based on these drawings without creative efforts.

[0025] Figure 1 It is a flowchart showing the fault diagnosis method for a building electromechanical system provided by the present invention.

[0026] Figure 2 It is a structural diagram showing the fault diagnosis device for a building electromechanical system provided by the present invention.

[0027] Figure 3 It is a structural diagram showing the electronic equipment provided by the present invention. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0028] To make the objectives, technical solutions and advantages of the present invention clearer, the following will clearly and completely describe the technical solutions in the present invention with reference to the accompanying drawings in the present invention. Obviously, the described embodiments are some, but not all, of the embodiments of the present invention. All other embodiments obtained by those of ordinary skill in the art without creative efforts based on the embodiments in the present invention belong to the scope of protection of the present invention.

[0029] The following will be combined withFigure 1 Describe the fault diagnosis method for the building electromechanical system provided by the present invention. The fault diagnosis method for the building electromechanical system provided by the present invention is applicable to the fault diagnosis classification of the building electromechanical system. The execution subject of this method can be an electronic device or a fault diagnosis device for the building electromechanical system set in the electronic device. The fault diagnosis device for the building electromechanical system can be implemented by software, hardware, or a combination of both. Figure 1 It is a schematic flow chart of the fault diagnosis method for the building electromechanical system provided by the present invention. As Figure 1 shown, this method includes the following steps 101, 102, 103, and 104.

[0030] Step 101: Obtain the system diagnosis data of the building electromechanical system.

[0031] In this step, the building electromechanical system is the general term for systems such as building heating, ventilation, air conditioning, water supply and drainage, elevators, and lighting that ensure the safety and normal operation of the building. There are various types of building electromechanical systems, and this embodiment does not limit them.

[0032] The system diagnosis data is the data of each device in the building electromechanical system collected by the diagnostic sensor during operation, such as the device operating temperature, device operating voltage, device operating environment humidity, etc. This embodiment does not limit them.

[0033] Specifically, for the building electromechanical system, collect the device operating temperature, device operating voltage, device operating environment humidity, device operating air quality, etc. of each device in the building electromechanical system through the diagnostic sensor.

[0034] Step 102: Conduct a preliminary fault diagnosis on the system diagnosis data to obtain a preliminary fault diagnosis result.

[0035] In this step, the preliminary fault diagnosis is to determine whether there are abnormalities in the acquisition process of the system diagnosis data.

[0036] Specifically, after obtaining the system diagnosis data, conduct an abnormality diagnosis on the system diagnosis data to determine whether there are abnormalities such as missing values, constant values, overlimits, and relationships between data, so as to obtain a preliminary fault diagnosis result.

[0037] In a specific embodiment, the preliminary fault diagnosis includes single-data diagnosis and diagnosis of relationships between data. The system diagnostic data is subjected to preliminary fault diagnosis to obtain a preliminary fault diagnosis result, including: performing single-data diagnosis on the system diagnostic data to obtain a data diagnosis result, and determining candidate diagnostic data based on the data diagnosis result and the system diagnostic data; performing diagnosis of relationships between data on the candidate diagnostic data to obtain a relationship diagnosis result, and determining preliminary diagnostic data based on the relationship diagnosis result and the candidate diagnostic data; and determining the preliminary fault diagnosis result based on the system diagnostic data, the candidate diagnostic data, and the preliminary diagnostic data.

[0038] In this step, the single-data diagnosis includes missing diagnosis, constant-value diagnosis, and overlimit diagnosis; the data diagnosis result includes a data missing result, a constant-value diagnosis result, and an overlimit diagnosis result. The missing diagnosis is to check the system diagnostic data for missing values to determine whether the system diagnostic data is missing and whether the data is complete. The constant-value diagnosis is to check the system diagnostic data for constant values to determine whether there are connected identical values in the system diagnostic data. The overlimit diagnosis is to judge the system diagnostic data against preset data, and the preset data can be specified according to domestic standards, for example, and this embodiment does not limit this.

[0039] The diagnosis of relationships between data is the diagnosis of relationships set for different types of parameters in the system diagnostic data. For example, the chilled water outlet temperature in the system diagnostic data should be lower than the chilled water return temperature. Considering that the general accuracy of temperature sensors on the market is 1°C, therefore, it is allowed that the chilled water outlet temperature is higher than the chilled water return temperature by within 1°C. If it exceeds 1°C, it is determined that the relationship between the chilled water outlet temperature and the chilled water return temperature is incorrect. The relationship diagnosis result can be, for example, marked as "relationship abnormal" if the data relationship is abnormal, and marked as "normal" if the data relationship is normal. Record that the data relationship is normal and proceed to the next data analysis step.

[0040] Specifically, perform single-data diagnosis such as missing diagnosis, constant-value diagnosis, and overlimit diagnosis on the system diagnostic data to obtain a data diagnosis result, and determine candidate diagnostic data based on the data diagnosis result and the system diagnostic data; perform diagnosis of relationships between data on the candidate diagnostic data to obtain a relationship diagnosis result, and determine preliminary diagnostic data based on the relationship diagnosis result and the candidate diagnostic data; and determine the preliminary fault diagnosis result based on the system diagnostic data, the candidate diagnostic data, and the preliminary diagnostic data.

[0041] In a specific embodiment, single data diagnosis is performed on system diagnosis data to obtain a data diagnosis result, and candidate diagnosis data is determined based on the data diagnosis result and the system diagnosis data, including: performing missing diagnosis on the system diagnosis data to obtain a data missing result, and determining first candidate diagnosis data based on the data missing result and the system diagnosis data; performing constant value diagnosis on the first candidate diagnosis data to obtain a constant value diagnosis result, and determining second candidate diagnosis data based on the constant value diagnosis result and the first candidate diagnosis data; performing over-limit diagnosis on the second candidate diagnosis data to obtain an over-limit diagnosis result, and determining third candidate diagnosis data based on the over-limit diagnosis result and the second candidate diagnosis data; determining candidate diagnosis data based on the system diagnosis data, the first candidate diagnosis data, the second candidate diagnosis data, and the third candidate diagnosis data.

[0042] In this step, missing diagnosis identifies data missing by checking for null values or predefined missing value markers in the data sequence of the obtained system diagnosis data, and evaluates data integrity by counting the number and proportion of missing data. The data missing result can be, for example, marked as "missing" if missing data is found, and marked as "normal" if the data is complete. For normal data, the complete data is recorded and subsequent data analysis is performed.

[0043] Constant value diagnosis checks whether there are consecutive identical values in the data sequence of the obtained system diagnosis data. By setting a time window and a threshold, it is checked whether the data remains unchanged for more than the threshold number within the time window. The constant value diagnosis result can be, for example, marked as "constant value" if the data is a constant value, and marked as "normal" if the data changes. For normal data, it is recorded that the data is normal and subsequent data analysis is performed.

[0044] Over-limit diagnosis is performed by comparing the obtained system diagnosis data with predefined upper and lower limits. The upper and lower limits integrate the specified ranges of numerous parameters in domestic standards, and make detailed specifications for the parameter ranges of key equipment in combination with the equipment type. For example, the reasonable range of indoor temperature is specified in combination with the building type, and different types of chillers have different ranges of chilled water outlet temperature, etc. This embodiment does not limit this. The over-limit diagnosis result can be, for example, marked as "over-limit" if the data exceeds the range, and marked as "normal" if the data is within the range. For normal data, it is recorded that the data is normal and subsequent data analysis is performed.

[0045] Specifically, perform missing diagnosis on the system diagnosis data to obtain a data missing result, and determine the first candidate diagnosis data based on the data missing result and the system diagnosis data; perform constant value diagnosis on the first candidate diagnosis data to obtain a constant value diagnosis result, and determine the second candidate diagnosis data based on the constant value diagnosis result and the first candidate diagnosis data; perform over-limit diagnosis on the second candidate diagnosis data to obtain an over-limit diagnosis result, and determine the third candidate diagnosis data based on the over-limit diagnosis result and the second candidate diagnosis data; determine the candidate diagnosis data based on the system diagnosis data, the first candidate diagnosis data, the second candidate diagnosis data, and the third candidate diagnosis data.

[0046] Exemplarily, when it is expected to obtain the device operating temperature in the system diagnosis data 60 times within one minute, and during the actual acquisition process through the diagnostic sensor, the actual number of times the device operating temperature is collected is 50 times, it is determined that there is an abnormality in the missing of the system diagnosis data during the acquisition process, and the first candidate diagnosis data is determined to be the normal device operating temperature of the remaining 50 times. If among the 50 collected device operating temperatures, there are 10 consecutive device operating data that are constant values, it is determined that there is an abnormality in the constant value of the system diagnosis data during the acquisition process, and the second candidate diagnosis data is determined to be the normal device operating temperature of the remaining 40 times. If among the remaining 40 device operating temperatures, there are 20 device operating temperatures greater than the preset operating temperature, it is determined that there is an abnormality in the over-limit of the system diagnosis data during the acquisition process, and the third candidate diagnosis data is determined to be the normal device operating temperature of the remaining 20 times. Thus, it is obtained that among the 50 device operating data of the system diagnosis data, 30 device operating data are abnormal and 20 collected device operating data are normal in the data diagnosis result. Further, based on the data diagnosis result and the system diagnosis data, the candidate diagnosis data is determined to be the remaining 20 normal collected device operating data, and then the relationship diagnosis is performed on the 20 normal collected device operating data. The obtained relationship diagnosis result includes that if 10 collected device operating data are normal in the data relationship diagnosis, it is marked as normal relationship, and if 10 collected device operating data are abnormal in the data relationship diagnosis, it is marked as abnormal relationship, and an abnormal warning is issued. The abnormal warning reminds to check in time whether the diagnostic sensor is calibrated or whether the device is operating abnormally. Then, based on the relationship diagnosis result and the candidate diagnosis data, the preliminary diagnosis data is determined, and the preliminary diagnosis data is the determined 10 normal collected device operating data; finally, based on the system diagnosis data, the candidate diagnosis data, and the preliminary diagnosis data, the preliminary fault diagnosis result is determined, and the preliminary diagnosis result is that among the 60 collected device operating data, 10 are normal and 50 are abnormal.

[0047] In a specific embodiment, for system diagnosis data with missing values, interpolation methods (such as linear interpolation and polynomial interpolation) can also be used for filling, and this embodiment does not limit this. If there is too much missing data, it may be necessary to consider the data source problem or adjust the data collection frequency, and an alarm will be issued to remind the management personnel of data loss.

[0048] Exemplarily, 50 data points are collected, and the preset ideal number of data points is 40. When the actually collected data is greater than 40 and less than or equal to 50, it is determined that filling can be performed. When the actually collected data is greater than 0 and less than or equal to 40, it is determined that there is too much missing data.

[0049] Exemplarily, assume that a temperature sensor collects data once per minute. If no data is collected within a certain minute, the temperature data for that minute will be marked as "missing". If data is lost continuously for 10 minutes, then the alarm system will issue an alarm message indicating too much data loss.

[0050] In a specific embodiment, for system diagnosis data with constant values, it may be necessary to check whether the sensor is faulty or whether the data transmission is abnormal. If the constant value data lasts for too long, an alarm will be issued.

[0051] Exemplarily, if the data of a temperature sensor remains at a certain value continuously for 2 hours, then it is possible that the temperature sensor is damaged.

[0052] In a specific embodiment, for system diagnosis data with overlimit values, an alarm needs to be issued immediately and corresponding protection measures need to be taken. For example, shutting down the device or suggesting adjusting the operating parameters.

[0053] Exemplarily, assume that the upper limit of the supply air temperature of an air conditioning system is 30°C. If the supply air temperature exceeds 30°C, the system will issue a high temperature alarm. For the voltage of the power grid, if it exceeds the maximum allowable voltage, then protection measures need to be started to disconnect the circuit, and this embodiment does not limit this.

[0054] In a specific embodiment, for system diagnosis data with abnormal diagnosis of the relationship between data, it may be necessary to check whether the sensor is calibrated or whether the device is operating abnormally.

[0055] Exemplarily, under the refrigeration condition, the supply air temperature of the air conditioning system should be lower than the return air temperature. If the supply air temperature is higher than the return air temperature by more than 1°C, then there may be a sensor failure or abnormal system operation. Or, for the heat supply pipe network, the supply water temperature should be higher than the return water temperature. If the return water temperature is higher than the supply water temperature by more than 1°C, then the sensor may be faulty or there may be an abnormality in the pipe network system.

[0056] Step 103: When the preliminary fault diagnosis result meets the preset result, determine the target diagnosis data based on the preliminary fault diagnosis result and the system diagnosis data.

[0057] In this step, the preset result is a pre-set diagnosis result.

[0058] Specifically, after determining the preliminary fault diagnosis result, determine whether the preliminary fault diagnosis result meets the preset result. When the preliminary fault diagnosis result meets the preset result, determine the target diagnosis data based on the preliminary fault diagnosis result and the system diagnosis data.

[0059] Exemplarily, the preliminary diagnosis result can be, for example, that among the system diagnosis data collected 60 times, there are 50 times of data anomalies and 10 times of normal data, and it is determined that the system diagnosis data corresponding to the remaining 10 times is valid data, and the system diagnosis data corresponding to the 50 times with anomalies is invalid data. Set the preset result as that among the system diagnosis data exceeding 60 times, there are more than 8 times of normal system diagnosis data. Therefore, it is determined that the preliminary fault diagnosis result meets the preset result, and this embodiment does not limit this.

[0060] Step 104: Conduct a detailed fault diagnosis on the target diagnosis data to obtain the system fault diagnosis result of the building electromechanical system.

[0061] In this step, the detailed fault diagnosis is a diagnosis for analyzing the cause of the fault in the target diagnosis data.

[0062] In a specific embodiment, the detailed fault diagnosis includes operation effect diagnosis, control logic diagnosis, control hardware diagnosis, environmental monitoring diagnosis, electrical system diagnosis, pipeline diagnosis, and component diagnosis; conducting a detailed fault diagnosis on the target diagnosis data to obtain the system fault diagnosis result of the building electromechanical system includes: respectively conducting operation effect diagnosis, control logic diagnosis, control hardware diagnosis, environmental monitoring diagnosis, electrical system diagnosis, pipeline diagnosis, and component diagnosis on the target diagnosis data to obtain the effect diagnosis result corresponding to the operation effect diagnosis, the logic diagnosis result corresponding to the control logic diagnosis, the hardware diagnosis result corresponding to the control hardware diagnosis, the environmental diagnosis result corresponding to the environmental monitoring diagnosis, the electrical diagnosis result corresponding to the electrical system diagnosis, the pipeline diagnosis result corresponding to the pipeline diagnosis, and the component diagnosis result corresponding to the component diagnosis; determining the system fault diagnosis result of the building electromechanical system based on the effect diagnosis result, the logic diagnosis result, the hardware diagnosis result, the environmental diagnosis result, the electrical diagnosis result, the pipeline diagnosis result, and the component diagnosis result.

[0063] In a specific embodiment, the operation effect diagnosis includes safety diagnosis, functionality diagnosis, and energy-saving diagnosis; the control logic diagnosis includes set value diagnosis, controlled parameter control logic diagnosis, special logic diagnosis, correlation relationship diagnosis, and correlation logic diagnosis; the environmental monitoring diagnosis includes single-dimension comfort diagnosis and overall comfort diagnosis; the electrical system diagnosis includes power supply stability diagnosis and distribution system operation diagnosis; the pipeline diagnosis includes water-side pipeline diagnosis, refrigerant pipeline diagnosis, and air-side pipeline diagnosis; the component diagnosis includes fan diagnosis, surface cooler diagnosis, evaporator diagnosis, condenser diagnosis, and water pump diagnosis. The operation effect diagnosis, control logic diagnosis, control hardware diagnosis, environmental monitoring diagnosis, electrical system diagnosis, pipeline diagnosis, and component diagnosis are respectively performed on the target diagnosis data to obtain the effect diagnosis result corresponding to the operation effect diagnosis, the logic diagnosis result corresponding to the control logic diagnosis, the hardware diagnosis result corresponding to the control hardware diagnosis, the environmental diagnosis result corresponding to the environmental monitoring diagnosis, the electrical diagnosis result corresponding to the electrical system diagnosis, the pipeline diagnosis result corresponding to the pipeline diagnosis, and the component diagnosis result corresponding to the component diagnosis, including: performing safety diagnosis, functionality diagnosis, and energy-saving diagnosis on the target diagnosis data to obtain the effect diagnosis result; performing set value diagnosis, controlled parameter control logic diagnosis, special logic diagnosis, correlation relationship diagnosis, and correlation logic diagnosis on the target diagnosis data to obtain the logic diagnosis result; performing control hardware diagnosis on the target diagnosis data to obtain the hardware diagnosis result; performing single-dimension comfort diagnosis and overall comfort diagnosis on the target diagnosis data to obtain the environmental diagnosis result; performing power supply stability diagnosis and distribution system operation diagnosis on the target diagnosis data to obtain the electrical diagnosis result; performing water-side pipeline diagnosis, refrigerant pipeline diagnosis, and air-side pipeline diagnosis on the target diagnosis data to obtain the pipeline diagnosis result; performing fan diagnosis, surface cooler diagnosis, evaporator diagnosis, condenser diagnosis, and water pump diagnosis on the target diagnosis data to obtain the component diagnosis result.

[0064] In this step, in the operation effect diagnosis, the safety diagnosis is the most basic requirement. The equipment in the system must first meet the safety requirements. If not, an alarm and operation for shutdown or protection will be issued. The functionality diagnosis is to judge whether the equipment in the system currently meets its function. For example, too high a return air temperature can reflect problems such as insufficient air supply volume of the air conditioner or insufficient cooling capacity on the water side. The energy-saving diagnosis is the highest-level requirement. On the basis that the equipment meets safe and effective operation, it is judged whether it is operating efficiently. For example, for the diagnosis of too low fan efficiency, the current efficiency of the fan will be calculated to judge whether there is a problem of too low efficiency.

[0065] Specifically, in the operation effect diagnosis, safety diagnosis is the basis of all diagnosis, ensuring that the operation of the equipment in the system will not cause harm to personnel and equipment, and focusing on whether the equipment is within the boundaries of safe operation. The technical means of safety diagnosis are mainly to conduct threshold checks to determine whether there are hidden dangers in the target diagnostic data. For example, it can be to set upper and lower thresholds of key parameters, such as temperature, pressure, voltage, current, etc., and monitor the operating status of the monitored equipment, such as the alarm signal and fault signal of the equipment itself, and then judge whether there is a conflict or abnormal state according to the equipment operation logic. If a safety hazard is found, the system immediately issues a shutdown or protection instruction and issues an emergency alarm. Record safety results for subsequent analysis and improvement. For example, if a chiller detects that the refrigerant pressure is too high, the building mechanical and electrical system will shut down immediately and issue a high-pressure alarm.

[0066] Functional diagnosis focuses on whether the equipment can normally realize its designed functions and whether the equipment operation meets the expected performance indicators. The technical means of functional diagnosis is mainly performance parameter monitoring, such as monitoring the performance parameters of the equipment, namely flow, temperature, humidity, power, etc. Compare the actual performance parameters in the target diagnostic data with the expected performance parameters to determine whether there is a deviation. And analyze the operation logic of the equipment based on the comparison results to determine whether there is a functional failure or abnormality. If a functional abnormality is found, the building mechanical and electrical system will issue a warning and provide a fault cause analysis and solution suggestions. Record functional abnormality events for subsequent maintenance and improvement. For example, if an air conditioning system detects that the return air temperature is too high, the building mechanical and electrical system will diagnose it as insufficient air supply or insufficient cooling, and recommend checking the fan and chiller. For a water pump, if the flow rate of the water pump is detected, the difference between the rated flow rate and the actual flow rate by the ratio of the frequency to 50 Hz is more than 15%, it will be diagnosed as the water pump deviating from the high efficiency point.

[0067] Energy-saving diagnosis focuses on whether the equipment is running in an efficient state, and focuses on the economy and energy efficiency of the equipment operation. The technical means of energy-saving diagnosis is to calculate the efficiency based on the operating parameters in the target diagnostic data of the equipment, and calculate its efficiency indicators, such as fan efficiency, water pump efficiency, chiller energy efficiency ratio, etc. By analyzing the energy consumption data of the equipment, it is determined whether there is an energy consumption anomaly, and based on the energy-saving diagnosis results of whether the energy consumption is abnormal, the equipment's operating parameter optimization and control strategy recommendations are given. If energy-saving potential is found, the building mechanical and electrical system will provide energy-saving suggestions and record the energy-saving optimization effect in order to evaluate the effectiveness of energy-saving measures.

[0068] Exemplarily, for a fan system in a building mechanical and electrical system, if it is detected that the fan efficiency is too low, the building mechanical and electrical system will diagnose that the fan impeller is worn or the pipeline resistance is too large, and recommend maintenance or optimization. For a chiller, by analyzing the Coefficient Of Performance (COP) value of the chiller, if the COP value is lower than the rated value, the building mechanical and electrical system will prompt that the heat exchange efficiency of the chiller has decreased and maintenance is required.

[0069] The advantage of such a setting is that through the three levels of diagnosis of safety diagnosis, functional diagnosis, and energy-saving diagnosis, the effect diagnosis result is determined. Through the effect diagnosis result, the building mechanical and electrical system can achieve safe, efficient, and energy-saving operation, thereby reducing the operation cost and improving the operation reliability.

[0070] In this step, in the control logic diagnosis, the control logic diagnosis includes set value diagnosis, which judges whether the device is operating according to the set mode, such as season setting, start-stop setting, etc.; controlled parameter control logic diagnosis, which judges whether the control logic of the controlled parameter is reasonable; special logic diagnosis, which includes the control logic of some uncommon scenarios, such as the judgment of whether the winter anti-freeze mode is not turned on; correlation relationship diagnosis, which judges whether the related device parameters are consistent, such as whether the chilled water outlet temperature is the same, etc.; correlation logic diagnosis, which judges whether the related device parameters are under joint control.

[0071] Specifically, in the control logic diagnosis, the basic requirement of the set value diagnosis is to pay attention to whether the device is operating according to the predetermined set value and mode, that is, to pay attention to whether the operation mode of the device matches the actual demand. The technical means of the set value diagnosis is to compare the actual set value of the device with the predetermined set value, and check whether the operation mode of the device (such as the season mode, start-stop mode) is correct, and at the same time check whether the operation schedule of the device conforms to the predetermined time arrangement. According to the three technical means, the set value result is obtained. If it is found that the set value or operation mode is incorrect in the set value result, the building mechanical and electrical system will issue a warning and provide modification suggestions. Record the set value error event for subsequent analysis and improvement. For example, it can be that when the building mechanical and electrical system is an air conditioning system, if it is detected that the set temperature of the chiller is 28°C in the summer mode, the building mechanical and electrical system will diagnose that the set value is incorrect and recommend modifying it to a lower set temperature. For a lighting system, if it is detected that the lighting system is in the on state during the day, then the building mechanical and electrical system will diagnose that the operation mode is incorrect and recommend turning off the lights.

[0072] The basic requirement for the control logic diagnosis of controlled parameters is that the control logic diagnosis of controlled parameters focuses on whether the control logic of the equipment is reasonable, that is, it focuses on whether the control strategy of the equipment can effectively adjust the controlled parameters. The technical means for the control logic diagnosis of controlled parameters is to analyze the control logic of the equipment, judge whether there are logical errors or defects, and monitor the change trend of the controlled parameters to judge whether the control logic is effective, and obtain the controlled diagnosis result. In the controlled diagnosis result, if a control logic error or defect is found, the building electromechanical system will issue a warning and provide modification suggestions. Record the control logic error events for subsequent analysis and improvement. For example, when the building electromechanical system is a variable air volume air conditioning system, if it is detected that the supply air temperature fluctuates too much, the building electromechanical system will diagnose that the control logic parameter setting is unreasonable and suggest adjusting the Proportion Integral Differential (PID) parameters.

[0073] The special logic diagnosis focuses on whether the control logic of the equipment is correct in specific scenarios, that is, it focuses on whether the equipment can handle special situations. The technical means for special logic diagnosis include identifying the special scenarios where the equipment is located, such as winter anti-freezing, summer high temperature, etc., and checking whether the equipment operates according to the predetermined logic rules, and monitoring the state parameters of the equipment to judge whether the operation requirements of the special scenarios are met, and obtaining the special diagnosis result. In the special diagnosis result, if a special logic error is found, the building electromechanical system will issue a warning and provide modification suggestions. Record the special logic error events for subsequent analysis and improvement. For example, when the building electromechanical system is a chiller, if it is detected that the ambient temperature is too low in winter, the building electromechanical system will diagnose that the anti-freezing mode is not turned on and suggest starting the anti-freezing mode.

[0074] The correlation diagnosis focuses on whether the parameters of related equipment are consistent, that is, it focuses on the coordination and consistency between equipment. The technical means for correlation diagnosis include comparing the parameters of related equipment, judging whether there are differences, checking whether the data of related equipment are synchronized, and checking whether the related equipment meets the predetermined logic rules, and obtaining the correlation diagnosis result. In the correlation diagnosis result, if a correlation error is found, the building electromechanical system will issue a warning and provide modification suggestions. Record the correlation error events for subsequent analysis and improvement. For example, when the building electromechanical system is a parallel chiller system, if it is detected that the chilled water supply temperature differences of multiple chillers are too large, the building electromechanical system will diagnose that the temperature sensor is faulty or the chilled water outlet temperatures of the chillers are inconsistent. For a lighting system, if it is detected that in the same area, the brightness differences of multiple lamps are too large, then it will be diagnosed that the lamps are faulty.

[0075] Associated logic diagnosis focuses on whether the associated device parameters are under interlock control, that is, it focuses on the interlock and coordination between devices. The technical means of associated logic diagnosis include monitoring the control signals between devices to determine whether there is interlock control, monitoring the changes in associated device parameters to determine whether the interlock control requirements are met, and checking whether the associated devices meet the predetermined interlock control logic to obtain the associated logic diagnosis result. In the associated logic diagnosis result, if an associated logic error is found, the building electromechanical system will issue a warning and provide modification suggestions. Record the associated logic error events for subsequent analysis and improvement. For example, when the building electromechanical system is an air conditioning system, if it is detected that the supply air temperature is too high and the chiller is not started, it will be diagnosed that the chiller is not under interlock control, and it is recommended to start the chiller.

[0076] The advantage of this setting is that based on the diagnostic results corresponding to the set value diagnosis, controlled parameter control logic diagnosis, special logic diagnosis, association relationship diagnosis, and associated logic diagnosis respectively, the building electromechanical system can achieve more intelligent, efficient, and reliable operation.

[0077] In this step, control hardware diagnosis mainly focuses on whether the core components of the control system in the building electromechanical system are working properly and whether the actuators can accurately execute control commands. This is crucial for ensuring the stability and reliability of the system. Control hardware diagnosis includes actuator diagnosis: such as whether the Programmable Logic Controller (PLC), Distributed Control System (DCS) are working properly, and whether the actuators (valves, fans, pumps, etc.) respond to control commands.

[0078] The PLC and DCS for actuator diagnosis are the "brains" of the control systems in building electromechanical systems, responsible for executing control logic. Therefore, it is necessary to ensure their normal operation. The technical means for actuator diagnosis include monitoring the operating status of the PLC / DCS, such as the operating status of the Central Processing Unit (CPU), memory usage, network communication status, etc., checking the diagnostic information of the PLC / DCS, such as error codes, alarm messages, etc.; and checking whether the communication between the PLC / DCS and other devices (such as sensors, actuators, etc.) is normal, testing the stability of the network connection, checking for communication delays or packet losses; and verifying whether the control logic of the PLC / DCS is correct, whether there are logic errors or conflicts, simulating input signals, checking whether the output signals meet the expectations, to obtain the first execution diagnosis result. In the first execution diagnosis result, if a PLC / DCS fault is found, the building electromechanical system will issue an emergency alarm and may need to switch to a backup system or manual control, and record the fault information for subsequent analysis and repair. For example, the building electromechanical system could be a PLC for a large air conditioning system. If the CPU overheats or there is a memory overflow, the building electromechanical system will issue an alarm and may need to stop some functions. For the I / O module of the PLC, if there is a communication fault, the communication line needs to be checked or the I / O module needs to be replaced.

[0079] Actuator (valve, fan, pump, etc.) diagnosis. Actuators are the "hands and feet" of the control systems in building electromechanical systems, responsible for executing control instructions. Therefore, it is necessary to ensure that they can accurately respond to control commands. The technical means for actuator (valve, fan, pump, etc.) diagnosis include monitoring whether the actuator executes the corresponding action after the control command is sent to the actuator, checking the feedback signals of the actuator, such as position feedback, status feedback, etc.; and monitoring the operating status of the actuator, such as motor current, speed, valve opening, etc., checking whether the operating parameters of the actuator are within the normal range; and analyzing the operating data of the actuator to determine whether there are faults, such as motor overload, valve jamming, etc. Checking the diagnostic information of the actuator, such as error codes, alarm messages, etc., to obtain the second execution diagnosis result. In the second execution diagnosis result, if an actuator fault is found, the building electromechanical system will issue an alarm and may need to switch to a backup actuator or manual control. Record the fault information for subsequent analysis and repair. For example, the building electromechanical system could be an electric valve. If the position feedback signal shows that the valve is not closed after receiving the closing command, the building electromechanical system will issue a valve fault alarm.

[0080] The advantage of such a setting is that by determining the hardware diagnosis result based on the first execution diagnosis result and the second execution diagnosis result, and comprehensively diagnosing the control hardware according to the hardware diagnosis result, faults can be detected and processed in a timely manner, ensuring the safe and stable operation of the building electromechanical system.

[0081] In this step, environmental monitoring and diagnosis mainly focus on the comfort and health of the indoor environment. By monitoring and analyzing environmental parameters, a comfortable and safe indoor environment is provided for people. Environmental monitoring and diagnosis include single-dimensional comfort diagnosis and overall comfort diagnosis.

[0082] Specifically, in environmental monitoring and diagnosis, single-dimensional comfort diagnosis focuses on whether a single environmental parameter is within a safe or comfortable range, that is, it focuses on whether a single parameter meets the physiological and psychological needs of people. The technical means of single-dimensional comfort diagnosis is to set the upper and lower threshold values of environmental parameters, such as carbon dioxide (CO2) concentration, fine particulate matter (2.5-micrometer Particulate Matter, PM2.5), volatile organic compounds (VOC), temperature, humidity, etc. Compare the monitored data with the threshold values to determine whether it exceeds the range; and compare the monitored data with relevant national or industry standards to determine whether it meets the requirements, and obtain a single diagnosis result. In the single diagnosis result, if it is found that the single-dimensional parameter exceeds the range or does not meet the standard, the building electromechanical system will issue a warning and may need to take corresponding measures, such as turning on ventilation, adjusting the air conditioner, etc. Record abnormal events for subsequent analysis and improvement.

[0083] Exemplarily, for indoor air quality (CO2 concentration), if the detected indoor CO2 concentration exceeds 1000 ppm, the building electromechanical system will diagnose that the air quality is poor and recommend turning on the fresh air system or increasing the ventilation volume. If it is detected that the indoor PM2.5 exceeds the national standard, then the building electromechanical system will diagnose that the air quality is poor. For indoor temperature and humidity, if it is detected that the indoor temperature exceeds 26 degrees Celsius or the humidity is lower than 30%, the building electromechanical system will diagnose it as uncomfortable and recommend adjusting the air conditioner or humidifier. If it is detected that the indoor temperature is too low, the building electromechanical system will diagnose that the indoor environmental temperature does not meet the comfort standard.

[0084] Overall comfort diagnosis focuses on the comfort under the combined action of multiple environmental parameters. It focuses on whether the overall environment meets the comprehensive needs of people. The technical means of overall comfort diagnosis is to use the weighted average method to comprehensively analyze multiple environmental parameters (such as CO2 concentration, PM2.5, VOC, temperature, humidity, etc.); and calculate the comfort score according to the environmental parameters. The parameters of the model can be adjusted according to the physiological and psychological needs of people to obtain the overall diagnosis result. In the overall diagnosis result, if the overall comfort score is low, the building electromechanical system will issue a warning and provide comprehensive improvement suggestions. Record the comfort score data for subsequent analysis and optimization.

[0085] Exemplarily, the working environment of a building's mechanical and electrical system is an office area. If a high CO2 concentration, high temperature, and low humidity are detected, the building's mechanical and electrical system will comprehensively evaluate the comfort score based on the overall diagnosis results and recommend turning on the fresh air system, adjusting the air conditioner and humidifier simultaneously. It can also obtain the overall comfort score by collecting environmental data from multiple dimensions.

[0086] The advantage of this setting is that the environmental diagnosis result is determined through the single diagnosis result and the overall diagnosis result, and through the comprehensive diagnosis of the environmental diagnosis result, a more comfortable and healthier indoor environment can be provided for people.

[0087] In this step, the electrical system diagnosis includes power supply stability diagnosis and distribution system operation diagnosis.

[0088] Specifically, in the electrical system diagnosis, the power supply stability diagnosis mainly focuses on the safety and reliability of the electrical system. By monitoring and analyzing electrical parameters, it determines whether the power supply is stable, whether there are overload or voltage fluctuation problems, and ensures the stable operation of the electrical system. The technical means of power supply stability diagnosis are to monitor the fluctuation range and frequency of the voltage in real time, check whether the voltage exceeds the allowable upper and lower limits; and monitor the magnitude of the current in real time, judge whether there is overload, check whether the current is stable and whether there are fluctuations; and monitor the frequency of the power supply in real time, judge whether it is stable, and obtain the power supply diagnosis result. In the power supply diagnosis result, if it is found that the power supply is unstable, the building's mechanical and electrical system will issue a warning and may need to switch to the standby power supply or take other protective measures. Record power supply abnormal events for subsequent analysis and improvement.

[0089] Exemplarily, in the case where there is a data center in the building's mechanical and electrical system, if a large voltage fluctuation is detected, the building's mechanical and electrical system will immediately switch to the Uninterruptible Power Supply (UPS) for power supply to prevent equipment damage. If a large current is detected in an industrial plant area, then it is necessary to check whether the electrical equipment is operating overloaded.

[0090] The distribution system operation diagnosis focuses on whether the distribution system operates according to the design, that is, it focuses on whether there are safety hazards such as leakage and overcurrent in the distribution system. The technical means of distribution system operation diagnosis include monitoring the magnitude of the leakage current in real time to judge whether there is leakage. Check whether the leakage protection device is working properly; and monitor the current of each circuit in real time to judge whether there is overcurrent. Check whether the circuit breaker and fuse are working properly; and monitor the temperature of the distribution equipment in real time to judge whether there is overheating, and obtain the distribution diagnosis result. In the distribution diagnosis result, if it is found that the distribution system is abnormal, the building's mechanical and electrical system will issue a warning and may need to disconnect the power supply or take other protective measures. The advantage of this setting is to record distribution system abnormal events for subsequent analysis and maintenance.

[0091] Exemplarily, for a distribution box in a building mechanical and electrical system, if the detected leakage current exceeds the set threshold, the building mechanical and electrical system will immediately cut off the power supply to prevent electric shock accidents.

[0092] The advantage of such a setting is that the electrical diagnosis result is determined based on the power supply diagnosis result and the power distribution diagnosis result, and abnormal power distribution of the building mechanical and electrical system is prevented based on the electrical diagnosis result.

[0093] In this step, the pipeline diagnosis mainly focuses on the integrity and operation efficiency of the pipeline system in the building mechanical and electrical system. By monitoring and analyzing pipeline parameters, the stable operation of the pipeline system is ensured. The pipeline diagnosis includes water-side pipeline diagnosis, refrigerant pipeline diagnosis, and air-side pipeline diagnosis.

[0094] The water-side pipeline diagnosis focuses on the operation status of the water pipeline system to ensure that it can transport water normally. It focuses on whether there are problems such as blockage, leakage, and insufficient pressure in the water pipeline. The technical means of water-side pipeline diagnosis is to monitor the pressure of the water pipeline in real time to judge whether there is insufficient or excessive pressure. Check the pressure change trend to judge whether there is leakage or blockage; and monitor the flow rate of the water pipeline in real time to judge whether there is insufficient or excessive flow rate, check the flow distribution to judge whether there is uneven flow rate; and monitor the temperature of the water pipeline in real time to judge whether there is abnormal temperature, check the temperature change trend to judge whether there is a decrease in heat exchange efficiency; and calculate the hourly water volume of the water meter for the make-up water volume. Based on the average make-up water volume in 24 hours, if the make-up water volume in a certain hour is greater than 25% of the average value or more, it is considered that there is a water leakage point in the pipeline, and the water-side diagnosis result is obtained. In the water-side diagnosis result, if it is found that the water-side pipeline is abnormal, the building mechanical and electrical system will issue a warning and may need to stop the equipment operation or perform maintenance. Record the pipeline abnormal event for subsequent analysis and maintenance.

[0095] Exemplarily, in a chiller system in a building mechanical and electrical system, if it is detected that the chilled water supply pressure is insufficient, the building mechanical and electrical system will diagnose it as a pump failure or a pipeline leak.

[0096] Refrigerant pipeline diagnosis focuses on the operating status of the refrigerant pipeline system to ensure that it can transport refrigerant normally, that is, it focuses on whether there are problems such as blockage and insufficient pressure in the refrigerant pipeline. The technical means of refrigerant pipeline diagnosis is to monitor the pressure of the refrigerant pipeline in real time to judge whether there is insufficient or excessive pressure. Check the pressure change trend to judge whether there is leakage or blockage; and monitor the temperature of the refrigerant pipeline in real time to judge whether there is abnormal temperature. Check the temperature change trend to judge whether there is a decrease in heat exchange efficiency, and obtain the refrigeration diagnosis result. In the refrigeration diagnosis result, if it is found that the refrigerant pipeline is abnormal, the building electromechanical system will issue a warning and may need to stop the equipment operation or perform maintenance, and record the pipeline abnormal event for subsequent analysis and maintenance.

[0097] Exemplarily, in an air-conditioning system in a building electromechanical system, if the detected refrigerant pressure is too low, the building electromechanical system will diagnose it as refrigerant leakage.

[0098] Air-side pipeline diagnosis focuses on the operating status of the air pipeline system to ensure that it can transport air normally, that is, it focuses on whether there are problems such as blockage and insufficient pressure in the air pipeline. The technical means of air-side pipeline diagnosis is to monitor the pressure of the air pipeline in real time to judge whether there is insufficient or excessive pressure. Check the pressure change trend to judge whether there is leakage or blockage; and monitor the flow rate of the air pipeline in real time to judge whether there is insufficient or excessive flow rate, check the flow distribution to judge whether there is uneven flow rate; and monitor the temperature of the air pipeline in real time to judge whether there is abnormal temperature, check the temperature change trend to judge whether there is a decrease in heat exchange efficiency, and obtain the air-side diagnosis result. In the air-side diagnosis result, if it is found that the air-side pipeline is abnormal, the building electromechanical system will issue a warning and may need to stop the equipment operation or perform maintenance, and record the pipeline abnormal event for subsequent analysis and maintenance.

[0099] Exemplarily, in a ventilation system in a building electromechanical system, if the detected supply air pressure is insufficient, the building electromechanical system will diagnose it as a fan failure or a duct blockage. In a fresh air system in a building electromechanical system, if the exhaust pipeline flow rate is too low, then it will be diagnosed that there is a blockage in the exhaust pipeline or a fan failure.

[0100] The advantage of such a setting is that by determining the pipeline diagnosis result based on the water-side diagnosis result, refrigeration diagnosis result and air-side diagnosis result, and comprehensively diagnosing the pipeline system in the building electromechanical system according to the pipeline diagnosis result, it can ensure the safe and stable operation of the pipeline system in the building electromechanical system and guarantee the normal function of the building electromechanical system.

[0101] In this step, component diagnosis includes fan diagnosis, chilled water coil diagnosis, evaporator diagnosis, condenser diagnosis, and water pump diagnosis. Fan diagnosis involves checking the operating status of the motor, whether there is overload in the motor, whether the air pressure matches the design value, whether there is air duct blockage, and whether the control logic is normal. Chilled water coil diagnosis is about diagnosing the heat exchange efficiency, checking whether the refrigerant or chilled water flow rate is normal, whether there is insufficient flow or blockage, and monitoring whether the temperature difference of the air at the inlet and outlet of the chilled water coil is normal. Evaporator diagnosis is to check whether the refrigerant flow rate is normal, whether there is insufficient refrigerant or refrigerant flow path blockage, and checking whether the suction gas temperature and pressure meet the design values. Condenser diagnosis is to diagnose whether the cooling water or air flow rate of the condenser is sufficient, whether there is blockage or insufficient flow, checking whether the condensation temperature and pressure are within the normal range, and if the condensation pressure is too high, it will cause abnormal operation of the compressor. Water pump diagnosis is to diagnose whether the actual flow rate and pressure of the water pump meet the design requirements, whether there is overload operation of the water pump motor, whether the start-stop control of the water pump is normal, and whether the frequency converter operates stably.

[0102] Specifically, in component diagnosis, fan diagnosis focuses on the operating status of the fan to ensure that it can normally provide the required air volume and air pressure. That is, it focuses on issues such as the operating status of the motor, overload, air pressure, air duct blockage, and control logic. The technical means of fan diagnosis is to monitor the operating status of the motor in the building mechanical and electrical system, that is, to monitor parameters such as motor current, voltage, speed, and temperature, and to monitor the air pressure at the inlet and outlet of the fan to determine whether it meets the design value; and to monitor the air duct pressure difference to determine whether there is blockage; and to check whether the fan control logic is correct, such as frequency conversion control, start-stop control, etc., to obtain the fan diagnosis result. In the fan diagnosis result, if the fan is found to be abnormal, the building mechanical and electrical system will issue a warning and may need to stop the fan operation or perform maintenance. Record the fan abnormal events for subsequent analysis and maintenance.

[0103] Exemplarily, for a supply fan in a building mechanical and electrical system, if it is detected that the motor current is too large, the building mechanical and electrical system will diagnose it as motor overload and may need to stop the fan operation. If the air pressure at the fan outlet is lower than the design value, the building mechanical and electrical system will diagnose it as air duct blockage.

[0104] The diagnosis of the surface cooler focuses on the heat transfer efficiency of the surface cooler to ensure that it can normally provide the required cooling capacity. That is, it focuses on issues such as refrigerant or chilled water flow rate, blockage, and the temperature difference between the inlet and outlet air. The technical means for diagnosing the surface cooler is to monitor the refrigerant or chilled water flow rate to determine whether it is normal; and monitor the temperatures of the inlet and outlet air of the surface cooler, calculate the temperature difference, calculate the heat transfer efficiency of the surface cooler, and compare it with the rated heat transfer efficiency to determine whether there is fouling; and monitor the refrigerant or chilled water pressure to determine whether there is blockage to obtain the surface cooler diagnosis result. In the surface cooler diagnosis result, if the surface cooler is found to be abnormal, the building electromechanical system will issue a warning and may need to stop the operation of the air conditioning system or perform maintenance. Record the abnormal events of the surface cooler for subsequent analysis and maintenance.

[0105] Exemplarily, for an air conditioning system in a building electromechanical system, if the chilled water flow rate is detected to be too low, the building electromechanical system will diagnose it as a pipeline blockage or a pump failure. If the actual heat transfer efficiency of the surface cooler is more than 25% lower than the rated heat transfer efficiency, the building electromechanical system will diagnose it as a reduction in heat transfer efficiency.

[0106] The diagnosis of the evaporator focuses on the operating state of the evaporator to ensure that it can normally provide the required cooling capacity. That is, it focuses on issues such as refrigerant flow rate, refrigerant shortage, flow path blockage, suction gas temperature, and pressure. The technical means for diagnosing the evaporator is to monitor the refrigerant flow rate to determine whether it is normal; and monitor the evaporator pressure to determine whether there is a refrigerant shortage or a flow path blockage; and monitor the suction gas temperature to determine whether it meets the design value to obtain the evaporation diagnosis result. In the evaporation diagnosis result, if the evaporator is found to be abnormal, the building electromechanical system will issue a warning and may need to stop the operation of the refrigeration system or perform maintenance. Record the abnormal events of the evaporator for subsequent analysis and maintenance.

[0107] Exemplarily, for a refrigeration system in a building electromechanical system, if the refrigerant pressure is detected to be too low, the building electromechanical system will diagnose it as a refrigerant leak. For the evaporator in the building electromechanical system, if the suction gas temperature is too high, the building electromechanical system will diagnose it as a refrigerant shortage.

[0108] The diagnosis of the condenser focuses on the operating state of the condenser to ensure that it can normally dissipate heat. That is, it focuses on issues such as cooling water or air flow rate, blockage, condensation temperature, and pressure. The technical means for diagnosing the condenser is to monitor the cooling water or air flow rate to determine whether it is sufficient; and monitor the condensation pressure to determine whether it is within the normal range; and monitor the condensation temperature to determine whether it is normal to obtain the condensation diagnosis result. In the condensation diagnosis result, if the condenser is found to be abnormal, the building electromechanical system will issue a warning and may need to stop the operation of the refrigeration system or perform maintenance. Record the abnormal events of the condenser for subsequent analysis and maintenance.

[0109] Exemplarily, for a chiller in a building mechanical and electrical system, if the average value of the inlet and outlet temperatures of the condenser is monitored to be higher than the average value of the inlet and outlet water temperatures of the condenser under the rated condition, it is diagnosed that the cooling effect of the cooling water system is poor.

[0110] The diagnosis of the water pump focuses on the operating state of the water pump to ensure that it can normally provide the required flow rate and pressure, that is, it focuses on issues such as the actual flow rate and pressure, motor overload, start-stop control, and frequency converter operation. The technical means for water pump diagnosis include monitoring the actual flow rate of the water pump to determine whether it meets the design requirements; monitoring the actual pressure of the water pump to determine whether it meets the design requirements; monitoring parameters such as the current, voltage, speed, and temperature of the motor; and checking whether the start-stop control of the water pump is normal and whether the frequency converter is operating stably to obtain the water pump diagnosis result. In the water pump diagnosis result, if it is found that the water pump is abnormal, the building mechanical and electrical system will issue a warning and may need to stop the water pump operation or perform maintenance, and record the water pump abnormal event for subsequent analysis and maintenance.

[0111] Exemplarily, for a circulating water pump in a building mechanical and electrical system, if the detected actual flow rate is lower than the design requirement, it is diagnosed that the water pump impeller is worn or the pipeline is blocked. For the water pump motor in the building mechanical and electrical system, if the current is too large, the building mechanical and electrical system will diagnose it as motor overload.

[0112] The advantage of such a setting is that by determining the component diagnosis results through the fan diagnosis result, the surface cooler diagnosis result, the evaporation diagnosis result, the condensation diagnosis result, and the water pump diagnosis result, and comprehensively diagnosing these key components of the building mechanical and electrical system based on the component diagnosis results, the efficient and reliable operation of the building mechanical and electrical system can be ensured.

[0113] In a specific embodiment, the system fault diagnosis result of the building mechanical and electrical system is determined according to the effect diagnosis result, the logic diagnosis result, the hardware diagnosis result, the environment diagnosis result, the electrical diagnosis result, the pipeline diagnosis result, and the component diagnosis result, including: determining the number of fault results according to the effect diagnosis result, the logic diagnosis result, the hardware diagnosis result, the environment diagnosis result, the electrical diagnosis result, the pipeline diagnosis result, and the component diagnosis result; determining the system fault diagnosis result of the building mechanical and electrical system according to the number of fault results and the system diagnosis threshold; wherein, the system diagnosis threshold is a threshold preset for system fault analysis.

[0114] In this step, the system diagnosis threshold is a threshold preset for system fault analysis.

[0115] Specifically, after obtaining the effect diagnosis result, logic diagnosis result, hardware diagnosis result, environment diagnosis result, electrical diagnosis result, pipeline diagnosis result, and component diagnosis result, a comprehensive overall diagnosis of the building mechanical and electrical system is performed based on these results to determine the number of fault results among the effect diagnosis result, logic diagnosis result, hardware diagnosis result, environment diagnosis result, electrical diagnosis result, pipeline diagnosis result, and component diagnosis result. When the number of fault diagnosis results is less than the system diagnosis threshold, the system fault diagnosis result is determined. When the number of fault diagnosis results is greater than or equal to the system diagnosis threshold, it is determined that there is a fault in the building mechanical and electrical system, and a fault warning is issued.

[0116] The advantage of this setting is that through the layer-by-layer diagnosis of primary diagnosis and refined diagnosis, multiple diagnostic perspectives in the primary diagnosis and multiple diagnostic perspectives in the refined diagnosis are used to comprehensively diagnose the fault situation of the building mechanical and electrical system, with clear hierarchical classification logic, significantly improving the reliability of the diagnosis results.

[0117] A fault diagnosis method for a building mechanical and electrical system provided by the present invention includes obtaining system diagnosis data of the building mechanical and electrical system; performing a preliminary fault diagnosis on the system diagnosis data to obtain a preliminary fault diagnosis result; where the preliminary fault diagnosis is a diagnosis for determining whether there are abnormalities in the process of obtaining the system diagnosis data; in the case where the preliminary fault diagnosis result meets the preset result, determining target diagnosis data based on the preliminary fault diagnosis result and the system diagnosis data; where the preset result is a pre-set diagnosis result; performing a refined fault diagnosis on the target diagnosis data to obtain the system fault diagnosis result of the building mechanical and electrical system; where the refined fault diagnosis is a diagnosis for analyzing the cause of the fault of the target diagnosis data. Based on the above embodiments, the technical solution of the present invention is used to solve the defect in the prior art that directly judging whether there is a fault in the mechanical and electrical system according to the obtained system data results in the inability to diagnose the root cause from the phenomenon, reducing the diagnostic effect. It realizes abnormal analysis of the system diagnosis data based on the preliminary fault diagnosis first, determines the target diagnosis data from the system diagnosis data, and then further analyzes the cause of the fault through the refined fault diagnosis, thereby determining the system fault diagnosis result of the building mechanical and electrical system. Based on the two-layer fault diagnosis, the fault diagnosis effect is improved, and accurate fault diagnosis is achieved.

[0118] The following describes the fault diagnosis device for a building mechanical and electrical system provided by the present invention. The fault diagnosis device for a building mechanical and electrical system described below can be mutually corresponding and referred to the fault diagnosis method for a building mechanical and electrical system described above.

[0119] Figure 2 is a schematic structural diagram of the fault diagnosis device for a building mechanical and electrical system provided by the present invention. Refer toFigure 2 As shown in Figure 2 , the fault diagnosis device 200 of the building mechanical and electrical system includes: a data acquisition module 201, a preliminary diagnosis module 202, a data determination module 203, and a refined diagnosis module 204.

[0120] The data acquisition module 201 is configured to acquire system diagnosis data of the building mechanical and electrical system.

[0121] The preliminary diagnosis module 202 is configured to perform a preliminary fault diagnosis on the system diagnosis data to obtain a preliminary fault diagnosis result; wherein, the preliminary fault diagnosis is a diagnosis for determining whether there is an abnormality in the acquisition process of the system diagnosis data.

[0122] The data determination module 203 is configured to determine target diagnosis data according to the preliminary fault diagnosis result and the system diagnosis data when the preliminary fault diagnosis result meets a preset result; wherein, the preset result is a diagnosis result set in advance.

[0123] The refined diagnosis module 204 is configured to perform a refined fault diagnosis on the target diagnosis data to obtain a system fault diagnosis result of the building mechanical and electrical system; wherein, the refined fault diagnosis is a diagnosis for analyzing the fault cause of the target diagnosis data.

[0124] In an exemplary embodiment, the preliminary fault diagnosis includes single - data diagnosis and inter - data relationship diagnosis.

[0125] In an exemplary embodiment, the preliminary diagnosis module 202 is specifically configured to: perform a single - data diagnosis on the system diagnosis data to obtain a data diagnosis result, and determine candidate diagnosis data according to the data diagnosis result and the system diagnosis data; perform an inter - data relationship diagnosis on the candidate diagnosis data to obtain a relationship diagnosis result, and determine preliminary diagnosis data according to the relationship diagnosis result and the candidate diagnosis data; determine the preliminary fault diagnosis result according to the system diagnosis data, the candidate diagnosis data, and the preliminary diagnosis data.

[0126] In an exemplary embodiment, the single - data diagnosis includes missing diagnosis, constant - value diagnosis, and over - limit diagnosis; the data diagnosis result includes a data - missing result, a constant - value diagnosis result, and an over - limit diagnosis result.

[0127] In an exemplary embodiment, the preliminary diagnosis module 202 performs single-data diagnosis on the system diagnosis data to obtain a data diagnosis result, and determines candidate diagnosis data based on the data diagnosis result and the system diagnosis data. Specifically, it is configured to: perform missing diagnosis on the system diagnosis data to obtain a data missing result, and determine first candidate diagnosis data based on the data missing result and the system diagnosis data; perform constant-value diagnosis on the first candidate diagnosis data to obtain a constant-value diagnosis result, and determine second candidate diagnosis data based on the constant-value diagnosis result and the first candidate diagnosis data; perform over-limit diagnosis on the second candidate diagnosis data to obtain an over-limit diagnosis result, and determine third candidate diagnosis data based on the over-limit diagnosis result and the second candidate diagnosis data; determine the candidate diagnosis data based on the system diagnosis data, the first candidate diagnosis data, the second candidate diagnosis data, and the third candidate diagnosis data.

[0128] In an exemplary embodiment, the fault fine diagnosis includes operation effect diagnosis, control logic diagnosis, control hardware diagnosis, environmental monitoring diagnosis, electrical system diagnosis, pipeline diagnosis, and component diagnosis.

[0129] In an exemplary embodiment, the fine diagnosis module 204 is specifically configured to: perform operation effect diagnosis, control logic diagnosis, control hardware diagnosis, environmental monitoring diagnosis, electrical system diagnosis, pipeline diagnosis, and component diagnosis on the target diagnosis data respectively, to obtain an effect diagnosis result corresponding to the operation effect diagnosis, a logic diagnosis result corresponding to the control logic diagnosis, a hardware diagnosis result corresponding to the control hardware diagnosis, an environmental diagnosis result corresponding to the environmental monitoring diagnosis, an electrical diagnosis result corresponding to the electrical system diagnosis, a pipeline diagnosis result corresponding to the pipeline diagnosis, and a component diagnosis result corresponding to the component diagnosis; determine the system fault diagnosis result of the building electromechanical system based on the effect diagnosis result, the logic diagnosis result, the hardware diagnosis result, the environmental diagnosis result, the electrical diagnosis result, the pipeline diagnosis result, and the component diagnosis result.

[0130] In an exemplary embodiment, the operation effect diagnosis includes safety diagnosis, functionality diagnosis, and energy efficiency diagnosis; the control logic diagnosis includes set value diagnosis, controlled parameter control logic diagnosis, special logic diagnosis, association relationship diagnosis, and association logic diagnosis; the environmental monitoring diagnosis includes single-dimensional comfort diagnosis and overall comfort diagnosis; the electrical system diagnosis includes power supply stability diagnosis and distribution system operation diagnosis; the pipeline diagnosis includes water-side pipeline diagnosis, refrigerant pipeline diagnosis, and air-side pipeline diagnosis; the component diagnosis includes fan diagnosis, surface cooler diagnosis, evaporator diagnosis, condenser diagnosis, and water pump diagnosis.

[0131] In an exemplary embodiment, the fine diagnosis module 204 performs operation effect diagnosis, control logic diagnosis, control hardware diagnosis, environmental monitoring diagnosis, electrical system diagnosis, pipeline diagnosis, and component diagnosis on the target diagnosis data respectively, and obtains an effect diagnosis result corresponding to the operation effect diagnosis, a logic diagnosis result corresponding to the control logic diagnosis, a hardware diagnosis result corresponding to the control hardware diagnosis, an environmental diagnosis result corresponding to the environmental monitoring diagnosis, an electrical diagnosis result corresponding to the electrical system diagnosis, a pipeline diagnosis result corresponding to the pipeline diagnosis, and a component diagnosis result corresponding to the component diagnosis. Specifically, it is used for: performing safety diagnosis, functional diagnosis, and energy-saving diagnosis on the target diagnosis data to obtain the effect diagnosis result; performing set value diagnosis, controlled parameter control logic diagnosis, special logic diagnosis, correlation diagnosis, and correlation logic diagnosis on the target diagnosis data to obtain the logic diagnosis result; performing control hardware diagnosis on the target diagnosis data to obtain the hardware diagnosis result; performing single-dimensional comfort diagnosis and overall comfort diagnosis on the target diagnosis data to obtain the environmental diagnosis result; performing power supply stability diagnosis and power distribution system operation diagnosis on the target diagnosis data to obtain the electrical diagnosis result; performing water-side pipeline diagnosis, refrigerant pipeline diagnosis, and air-side pipeline diagnosis on the target diagnosis data to obtain the pipeline diagnosis result; performing fan diagnosis, surface cooler diagnosis, evaporator diagnosis, condenser diagnosis, and water pump diagnosis on the target diagnosis data to obtain the component diagnosis result.

[0132] In an exemplary embodiment, the fine diagnosis module 204 determines the system fault diagnosis result of the building electromechanical system according to the effect diagnosis result, logic diagnosis result, hardware diagnosis result, environmental diagnosis result, electrical diagnosis result, pipeline diagnosis result, and component diagnosis result. Specifically, it is used for: determining the number of fault results according to the effect diagnosis result, logic diagnosis result, hardware diagnosis result, environmental diagnosis result, electrical diagnosis result, pipeline diagnosis result, and component diagnosis result; determining the system fault diagnosis result of the building electromechanical system according to the number of fault results and the system diagnosis threshold; where the system diagnosis threshold is a threshold preset for system fault analysis.

[0133] The device in this embodiment can be used to execute the method in any one of the method embodiments of the fault diagnosis method for the building electromechanical system. Its specific implementation process and technical effect are similar to those in the method embodiments of the fault diagnosis method for the building electromechanical system. Specifically, reference can be made to the detailed introduction in the method embodiments of the fault diagnosis method for the building electromechanical system, which will not be elaborated here.

[0134] Figure 3 is a schematic structural diagram of the electronic device provided by the present invention, as Figure 3As shown, the electronic device may include: a processor 310, a communications interface 320, a memory 330, and a communication bus 340. Among them, the processor 310, the communications interface 320, and the memory 330 complete communication with each other through the communication bus 340. The processor 310 may call the logical instructions in the memory 330 to execute a fault diagnosis method for a building electromechanical system. The method includes: obtaining system diagnosis data of the building electromechanical system; performing a preliminary fault diagnosis on the system diagnosis data to obtain a preliminary fault diagnosis result; where the preliminary fault diagnosis is a diagnosis for determining whether there is an abnormality in the process of obtaining the system diagnosis data; in the case where the preliminary fault diagnosis result meets a preset result, determining target diagnosis data according to the preliminary fault diagnosis result and the system diagnosis data; where the preset result is a pre-set diagnosis result; performing a fine fault diagnosis on the target diagnosis data to obtain a system fault diagnosis result of the building electromechanical system; where the fine fault diagnosis is a diagnosis for analyzing the cause of the fault for the target diagnosis data.

[0135] In addition, when the logical instructions in the above-mentioned memory 330 can be implemented in the form of software functional units and sold or used as an independent product, they can be stored in a computer-readable storage medium. Based on such an understanding, the technical solution of the present invention, in essence, or the part that contributes to the prior art, or a part of this technical solution, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes several instructions for causing a computer device (which may be a personal computer, a server, or a network device, etc.) to execute all or part of the steps of the methods in various embodiments of the present invention. The foregoing storage medium includes: various media such as a USB flash drive, a mobile hard disk, a read-only memory (ROM, Read-Only Memory), a random access memory (RAM, Random Access Memory), a magnetic disk, or an optical disc that can store program codes.

[0136] On the other hand, the present invention also provides a computer program product, which includes a computer program. The computer program can be stored on a non-transitory computer-readable storage medium. When the computer program is executed by a processor, the computer can execute the fault diagnosis method of the building electromechanical system provided by each of the above methods. The method includes: obtaining system diagnosis data of the building electromechanical system; performing a preliminary fault diagnosis on the system diagnosis data to obtain a preliminary fault diagnosis result; wherein, the preliminary fault diagnosis is a diagnosis for judging whether there is an abnormality in the process of obtaining the system diagnosis data; in the case that the preliminary fault diagnosis result meets a preset result, determining target diagnosis data according to the preliminary fault diagnosis result and the system diagnosis data; wherein, the preset result is a diagnosis result set in advance; performing a fine fault diagnosis on the target diagnosis data to obtain a system fault diagnosis result of the building electromechanical system; wherein, the fine fault diagnosis is a diagnosis for analyzing the cause of the fault of the target diagnosis data.

[0137] In another aspect, the present invention also provides a non-transitory computer-readable storage medium, on which a computer program is stored. When the computer program is executed by a processor, it realizes the fault diagnosis method of the building electromechanical system provided by each of the above methods. The method includes: obtaining system diagnosis data of the building electromechanical system; performing a preliminary fault diagnosis on the system diagnosis data to obtain a preliminary fault diagnosis result; wherein, the preliminary fault diagnosis is a diagnosis for judging whether there is an abnormality in the process of obtaining the system diagnosis data; in the case that the preliminary fault diagnosis result meets a preset result, determining target diagnosis data according to the preliminary fault diagnosis result and the system diagnosis data; wherein, the preset result is a diagnosis result set in advance; performing a fine fault diagnosis on the target diagnosis data to obtain a system fault diagnosis result of the building electromechanical system; wherein, the fine fault diagnosis is a diagnosis for analyzing the cause of the fault of the target diagnosis data.

[0138] The device embodiments described above are merely illustrative. The units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in one place, or may be distributed to multiple network units. Some or all of the modules can be selected according to actual needs to achieve the purpose of the solution of this embodiment. Those of ordinary skill in the art can understand and implement it without creative efforts.

[0139] Through the description of the above embodiments, those skilled in the art can clearly understand that each embodiment can be implemented by means of software plus a necessary general hardware platform, and of course, it can also be implemented by hardware. Based on such an understanding, the above technical solutions, in essence, or the part that contributes to the prior art can be embodied in the form of a software product. This computer software product can be stored in a computer-readable storage medium, such as ROM / RAM, magnetic disk, optical disk, etc., and includes several instructions to enable a computer device (which can be a personal computer, server, or network device, etc.) to execute the methods described in each embodiment or some parts of the embodiments.

[0140] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit them; although the present invention has been described in detail with reference to the foregoing embodiments, those of ordinary skill in the art should understand that they can still modify the technical solutions recorded in the foregoing embodiments, or perform equivalent replacements for some of the technical features; and these modifications or replacements do not make the essence of the corresponding technical solutions deviate from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims

1. A fault diagnosis method for a building electromechanical system, characterized in that: include: Obtain system diagnostic data for building mechanical and electrical systems; Performing a preliminary fault diagnosis on the system diagnostic data to obtain a preliminary fault diagnosis result; wherein the preliminary fault diagnosis is to determine whether there is an abnormality in the acquisition process of the system diagnostic data; In the case where the preliminary fault diagnosis result meets the preset result, determining the target diagnostic data according to the preliminary fault diagnosis result and the system diagnostic data; wherein the preset result is a pre-set diagnostic result; Performing detailed fault diagnosis on the target diagnostic data to obtain a system fault diagnosis result of the building mechanical and electrical system; wherein the detailed fault diagnosis is a diagnosis for analyzing the cause of the fault on the target diagnostic data.

2. The fault diagnosis method of a building electromechanical system according to claim 1, characterized in that: The preliminary fault diagnosis includes single data diagnosis and relationship diagnosis between data; the preliminary fault diagnosis is performed on the system diagnostic data to obtain a preliminary fault diagnosis result, including: Performing the single data diagnosis on the system diagnostic data to obtain a data diagnostic result, and determining candidate diagnostic data according to the data diagnostic result and the system diagnostic data; Performing the relationship diagnosis between the data on the candidate diagnostic data to obtain a relationship diagnosis result, and determining preliminary diagnostic data based on the relationship diagnosis result and the candidate diagnostic data; The preliminary fault diagnosis result is determined according to the system diagnosis data, the candidate diagnosis data and the preliminary diagnosis data.

3. The fault diagnosis method of a building electromechanical system according to claim 2, characterized in that: The single data diagnosis includes missing diagnosis, constant value diagnosis and over-limit diagnosis; the data diagnosis result includes data missing result, constant value diagnosis result and over-limit diagnosis result; performing the single data diagnosis on the system diagnostic data to obtain the data diagnosis result, and determining the candidate diagnostic data according to the data diagnosis result and the system diagnostic data, includes: Performing the missing diagnosis on the system diagnostic data to obtain the data missing result, and determining first candidate diagnostic data according to the data missing result and the system diagnostic data; Performing the constant value diagnosis on the first candidate diagnostic data to obtain the constant value diagnosis result, and determining the second candidate diagnostic data according to the constant value diagnosis result and the first candidate diagnostic data; performing the out-of-limit diagnosis on the second candidate diagnostic data to obtain the out-of-limit diagnosis result, and determining third candidate diagnostic data according to the out-of-limit diagnosis result and the second candidate diagnostic data; The candidate diagnostic data is determined according to the system diagnostic data, the first candidate diagnostic data, the second candidate diagnostic data, and the third candidate diagnostic data.

4. The fault diagnosis method of a building electromechanical system according to claim 1, characterized in that: The fault fine diagnosis includes operation effect diagnosis, control logic diagnosis, control hardware diagnosis, environmental monitoring diagnosis, electrical system diagnosis, pipeline diagnosis and component diagnosis; the fault fine diagnosis of the target diagnostic data is performed to obtain the system fault diagnosis result of the building electromechanical system, including: Respectively performing the operation effect diagnosis, the control logic diagnosis, the control hardware diagnosis, the environmental monitoring diagnosis, the electrical system diagnosis, the pipeline diagnosis and the component diagnosis on the target diagnostic data to obtain an effect diagnosis result corresponding to the operation effect diagnosis, a logic diagnosis result corresponding to the control logic diagnosis, a hardware diagnosis result corresponding to the control hardware diagnosis, an environmental diagnosis result corresponding to the environmental monitoring diagnosis, an electrical diagnosis result corresponding to the electrical system diagnosis, a pipeline diagnosis result corresponding to the pipeline diagnosis and a component diagnosis result corresponding to the component diagnosis; The system fault diagnosis result of the building electromechanical system is determined according to the effect diagnosis result, the logic diagnosis result, the hardware diagnosis result, the environment diagnosis result, the electrical diagnosis result, the pipeline diagnosis result and the component diagnosis result.

5. The fault diagnosis method of a building electromechanical system according to claim 4, characterized in that: The operation effect diagnosis includes safety diagnosis, functional diagnosis and energy-saving diagnosis; the control logic diagnosis includes set value diagnosis, controlled parameter control logic diagnosis, special logic diagnosis, association relationship diagnosis and association logic diagnosis; the environmental monitoring diagnosis includes single-dimensional comfort diagnosis and overall comfort diagnosis; the electrical system diagnosis includes power stability diagnosis and distribution system operation diagnosis; the pipeline diagnosis includes water side pipeline diagnosis, refrigerant pipeline diagnosis and air side pipeline diagnosis; the component diagnosis includes fan diagnosis, surface cooler diagnosis, evaporator diagnosis, condenser diagnosis and water pump diagnosis; the operation effect diagnosis, the control logic diagnosis, the control hardware diagnosis, the environmental monitoring diagnosis, the electrical system diagnosis, the pipeline diagnosis and the component diagnosis are performed on the target diagnostic data respectively to obtain the effect diagnosis result corresponding to the operation effect diagnosis, the logic diagnosis result corresponding to the control logic diagnosis, the hardware diagnosis result corresponding to the control hardware diagnosis, the environmental diagnosis result corresponding to the environmental monitoring diagnosis, the electrical diagnosis result corresponding to the electrical system diagnosis, the pipeline diagnosis result corresponding to the pipeline diagnosis and the component diagnosis result corresponding to the component diagnosis, including: Performing the safety diagnosis, the functional diagnosis and the energy-saving diagnosis on the target diagnostic data to obtain the effect diagnosis result; Performing the set value diagnosis, the controlled parameter control logic diagnosis, the special logic diagnosis, the association relationship diagnosis and the association logic diagnosis on the target diagnostic data to obtain the logic diagnosis result; Performing the control hardware diagnosis on the target diagnostic data to obtain the hardware diagnostic result; Performing the single-dimensional comfort diagnosis and the overall comfort diagnosis on the target diagnostic data to obtain the environmental diagnosis result; Performing the power supply stability diagnosis and the power distribution system operation diagnosis on the target diagnostic data to obtain the electrical diagnostic result; Performing the water side pipeline diagnosis, the refrigerant pipeline diagnosis and the air side pipeline diagnosis on the target diagnostic data to obtain the pipeline diagnosis result; The fan diagnosis, the surface cooler diagnosis, the evaporator diagnosis, the condenser diagnosis and the water pump diagnosis are performed on the target diagnostic data to obtain the component diagnosis results.

6. The fault diagnosis method of a building electromechanical system according to claim 4, characterized in that: The method of determining the system fault diagnosis result of the building electromechanical system according to the effect diagnosis result, the logic diagnosis result, the hardware diagnosis result, the environment diagnosis result, the electrical diagnosis result, the pipeline diagnosis result and the component diagnosis result comprises: Determine the number of fault results according to the effect diagnosis result, the logic diagnosis result, the hardware diagnosis result, the environment diagnosis result, the electrical diagnosis result, the pipeline diagnosis result and the component diagnosis result; The system fault diagnosis result of the building electromechanical system is determined according to the number of fault results and a system diagnosis threshold; wherein the system diagnosis threshold is a preset threshold for performing system fault analysis.

7. A fault diagnosis device for a building electromechanical system, characterized in that: include: A data acquisition module, used to acquire system diagnostic data of a building's electromechanical system; A preliminary diagnosis module, used to perform preliminary fault diagnosis on the system diagnostic data to obtain preliminary fault diagnosis results; wherein the preliminary fault diagnosis is to determine whether there is an abnormality in the acquisition process of the system diagnostic data; A data determination module, configured to determine target diagnostic data according to the preliminary fault diagnosis result and the system diagnostic data when the preliminary fault diagnosis result satisfies a preset result; wherein the preset result is a pre-set diagnostic result; A fine diagnosis module is used to perform fine fault diagnosis on the target diagnostic data to obtain a system fault diagnosis result of the building electromechanical system; wherein the fine fault diagnosis is a diagnosis for analyzing the cause of the fault on the target diagnostic data.

8. An electronic device comprising a memory, a processor, and a computer program stored in the memory and running on the processor, characterized in that: When the processor executes the computer program, the fault diagnosis method for the building electromechanical system according to any one of claims 1 to 6 is implemented.

9. A non-transitory computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the fault diagnosis method for a building electromechanical system as claimed in any one of claims 1 to 6 is implemented.

10. A computer program product, comprising a computer program, characterized in that When the computer program is executed by a processor, the fault diagnosis method for a building electromechanical system as claimed in any one of claims 1 to 6 is implemented.

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