Detection method and system for fire pump of fire extinguishing system

Abstract

The invention discloses a detection method and system for a fire pump of a fire extinguishing system, and relates to the technical field of fire pump detection.The detection method comprises the following steps that a detection mechanism is installed on the fire pump, and detection data are collected; sequentially judging the collected detection data; and establishing a fault correlation model through a judgment result, and generating a comprehensive report. According to the method, classification of high-level abnormity, low-level abnormity and safe operation is carried out on the detection data through the grading judgment technology, the problems occurring in the operation process of the fire pump can be recognized more accurately, corresponding measures are taken according to the severity degree of the problems, and then the detection data with the high-level abnormity frequently occurring can be accurately recognized. And a worker can pay attention to the situation.

Description

Technical Field

[0001] The invention relates to the technical field of fire pump detection, in particular to a detection method and system for a fire pump of a fire extinguishing system. Background Art

[0002] In modern fire extinguishing systems, fire pumps are core components, and their normal operation is directly related to the overall effect of the fire extinguishing system. However, traditional detection methods are difficult to accurately distinguish the severity of abnormalities, and can often only simply determine whether the equipment is operating normally, and it is difficult to identify faults of different levels. In complex fire pump systems, a single fault is often not isolated and may cause or be accompanied by faults in other components. Traditional fault detection methods can usually only identify a single fault and are difficult to effectively handle the correlation problem in the case of multiple faults. Summary of the invention

[0003] In view of the problems existing in the existing detection and system of fire pumps for fire extinguishing systems, the present invention is proposed.

[0004] Therefore, the problem to be solved by the present invention is that it is impossible to accurately distinguish the severity of anomalies and it is difficult to handle the correlation problem in the case of multiple faults.

[0005] In order to solve the above technical problems, the present invention provides the following technical solutions:

[0006] In a first aspect, an embodiment of the present invention provides a method for detecting a fire pump of a fire extinguishing system, which comprises the following steps:

[0007] Install a testing mechanism on the fire pump and collect test data;

[0008] The collected test data are judged in sequence;

[0009] Based on the judgment results, a fault correlation model is established and a comprehensive report is generated.

[0010] As a preferred solution of the detection method for the fire pump of the fire extinguishing system of the present invention, the installation detection mechanism includes: fire pump operation condition detection, fire pump motor detection, fire pump shaft temperature detection, and fire pump operation vibration detection; wherein,

[0011] The method for installing the fire pump operation condition detection includes installing a vacuum detection module at the water inlet of the fire pump, and installing a flow detection module and a pressure detection module at the water outlet of the fire pump;

[0012] The method for installing a fire pump motor detection includes installing a power detection module and a valve opening detection module at the motor of the fire pump;

[0013] The method for installing a fire pump shaft temperature detection includes installing a temperature detection module at the pump shaft of the fire pump;

[0014] The method for installing a fire pump operation vibration detection comprises installing a vibration detection module at a base of the fire pump.

[0015] As a preferred solution of the detection method for a fire pump of a fire extinguishing system of the present invention, after collecting the detection data, the integrity of the detection data is verified. The specific verification method includes:

[0016] The detection interval length X is set, and after each detection interval length X, the detection data of the fire pump is collected by the detection mechanism;

[0017] Obtain the type of testing organization used, and establish data types in sequence according to the type of testing organization;

[0018] Delete the content in the data type, and then fill the test data into the data type according to the type of the testing organization;

[0019] Determine whether the content in the data type is missing. If the judgment result is that there is no missing content, it proves that the test data is complete. If the judgment result is missing, the next test interval is adjusted to Y, and then the test data is collected again, and the integrity of the test data is re-verified;

[0020] When the verification result is complete, the next detection interval is restored to X, and the detection data is output normally. When the verification result is still missing, an alarm is issued to remind the staff;

[0021] Among them, the detection interval duration Y is less than the detection interval duration X.

[0022] As a preferred solution of the detection method for fire pumps of a fire extinguishing system of the present invention, the method of judging the collected detection data is a hierarchical judgment method.

[0023] The operation steps of the hierarchical judgment formula include: classifying the judgment results of the detection data into high-level abnormalities, low-level abnormalities and safe operation;

[0024] When the judgment result is a low-level abnormality, the corresponding execution module is started according to the type of the detection mechanism, and the operation mode of the fire pump is adjusted through the execution module, and a re-judgment is performed. When the result is normal, there is no response. When the result is still abnormal, the judgment result is modified to a high-level abnormality;

[0025] When the judgment result is a high-level abnormality, the data type is entered into the database, and the number of abnormalities of the data type is increased by 1. The operation mode of the fire pump is adjusted through the execution module and judged again. When the result is normal, there is no response. When the result is still abnormal, the maintenance personnel are reminded to repair.

[0026] As a preferred embodiment of the detection method for a fire pump of a fire extinguishing system of the present invention, the method for detecting and judging the operating condition of the fire pump is to set a standard value of vacuum, a standard value of flow and a standard value of pressure. When the actual value of vacuum, the actual value of flow and the actual value of pressure are all greater than the corresponding standard values, the detection result of the operating condition of the fire pump is normal. When any one of the actual values ​​is not greater than the corresponding standard value, the detection result of the operating condition of the fire pump is a low-level abnormality. When any two or three of the actual values ​​are not greater than the corresponding standard value, the detection result of the operating condition of the fire pump is a high-level abnormality.

[0027] The fire pump motor detection and judgment method is to set the current safety range, judge whether the actual current value obtained by the power supply detection module is within the current safety range, and judge whether the fire pump valve is in the open state through the valve opening detection module. When both judgment results are yes, the fire pump motor detection result is normal. When one of the judgment results is yes, the fire pump motor detection result is a low-level abnormality. When both judgment results are no, the fire pump motor detection result is a high-level abnormality.

[0028] The fire pump shaft temperature detection and judgment method is to set a safe temperature threshold. When the actual temperature value obtained by the temperature detection module is less than the safe temperature threshold, the fire pump shaft temperature detection result is normal. When the actual temperature value obtained by the temperature detection module is not less than the safe temperature threshold, the safe temperature judgment value is calculated. When the actual temperature value is less than the safe temperature judgment value, the fire pump motor detection result is a low-level abnormality. When the actual temperature value is not less than the safe temperature judgment value, the fire pump motor detection result is a high-level abnormality, wherein the safe temperature judgment value = safe temperature threshold × K, and 1.3≤K≤1.5, K is expressed as a multiple;

[0029] The fire pump operation vibration detection and judgment method is to set the normal acceleration range. When the vertical acceleration obtained by the vibration detection module is within the normal acceleration range, the fire pump operation vibration detection result is normal. When the vertical acceleration obtained by the vibration detection module is not within the normal acceleration range, the fire pump operation vibration detection result is a low-level abnormality.

[0030] As a preferred solution of the detection method for a fire pump of a fire extinguishing system of the present invention, when the type of the detection mechanism is the fire pump operation condition detection, the corresponding execution module operates as air in the pump, pump suction blockage, and abnormal pump flow;

[0031] When the type of the detection mechanism is fire pump motor detection, the corresponding execution module operates as power supply abnormality and valve not closed;

[0032] When the type of the detection mechanism is fire pump shaft temperature detection, the corresponding execution module operates as pump shaft high temperature operation;

[0033] When the type of the detection mechanism is fire pump operation vibration detection, the corresponding execution module operates as abnormal vibration.

[0034] As a preferred solution of the detection method for a fire pump of a fire extinguishing system of the present invention, the operation steps of the fault association model are as follows:

[0035] When the judgment result shows a low-level abnormality or a high-level abnormality, obtain the group of detection data, and mark the abnormal data type as transformed data. Then solve the abnormal problem, obtain the detection data again, and compare the remaining data types in the detection data. Set the deviation value, and judge whether the difference between the two groups of data types is greater than the deviation value. When there is a data type greater than the deviation value, mark the data type as a type to be confirmed, and repeat the verification method until the verification standard value is reached. According to the verification result, judge whether the data type is an associated fault type.

[0036] In a second aspect, an embodiment of the present invention provides a detection system for a fire pump of a fire extinguishing system, which includes a data acquisition module, a judgment module, and an analysis module;

[0037] The data acquisition module is used to collect the detection data of the fire pump through the detection mechanism and to check the integrity of the detection data;

[0038] The judgment module is used to judge and analyze the detection data, and start the corresponding execution module according to the analysis result;

[0039] The analysis module is used to establish a fault association model according to the detection data.

[0040] In a third aspect, an embodiment of the present invention provides a computer device, including a memory and a processor, wherein the memory stores a computer program, wherein: when the processor executes the computer program, any step of the above-mentioned detection method for a fire pump of a fire extinguishing system is implemented.

[0041] In a fourth aspect, an embodiment of the present invention provides a computer-readable storage medium having a computer program stored thereon, wherein: when the computer program is executed by a processor, any step of the above-mentioned detection method for a fire pump of a fire extinguishing system is implemented.

[0042] The beneficial effects of the present invention are as follows: by using the technology of graded judgment to classify the detection data into high-level anomalies, low-level anomalies and safe operation, it is possible to more accurately identify problems occurring during the operation of the fire pump and take corresponding measures according to the severity of the problem; secondly, for detection data with frequent high-level anomalies, it is possible to draw the attention of staff to the situation.

[0043] The fault correlation model analyzes the relationship between multiple detection data and identifies potential fault chains, which helps to quickly locate the root cause of the fault and provide a more comprehensive fault solution. This model not only improves the efficiency of fault handling, but also effectively reduces the occurrence of repeated faults and extends the service life of the system. BRIEF DESCRIPTION OF THE DRAWINGS

[0044] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the following briefly introduces the drawings required for describing the embodiments. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work. Among them:

[0045] Figure 1 The present invention is a flow chart of a method for detecting a fire pump of a fire extinguishing system.

[0046] Figure 2 The first example diagram of the detection data integrity of the detection method for the fire pump of the fire extinguishing system.

[0047] Figure 3 The second example diagram is a diagram of the completeness of the detection data of the detection method for the fire pump of the fire extinguishing system. DETAILED DESCRIPTION

[0048] In order to make the above-mentioned purposes, features and advantages of the present invention more obvious and easy to understand, the specific implementation methods of the present invention are described in detail below in conjunction with the drawings of the specification. Obviously, the described embodiments are part of the embodiments of the present invention, but not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary persons in the art without creative work should fall within the scope of protection of the present invention.

[0049] In the following description, many specific details are set forth to facilitate a full understanding of the present invention, but the present invention may also be implemented in other ways different from those described herein, and those skilled in the art may make similar generalizations without violating the connotation of the present invention. Therefore, the present invention is not limited to the specific embodiments disclosed below.

[0050] Secondly, the term "one embodiment" or "embodiment" as used herein refers to a specific feature, structure, or characteristic that may be included in at least one implementation of the present invention. The term "in one embodiment" that appears in different places in this specification does not necessarily refer to the same embodiment, nor does it refer to a separate or selective embodiment that is mutually exclusive with other embodiments.

[0051] The present invention is described in detail with reference to schematic diagrams. When describing the embodiments of the present invention, for the sake of convenience, the cross-sectional diagrams showing the device structure will not be partially enlarged according to the general scale, and the schematic diagrams are only examples, which should not limit the scope of protection of the present invention. In addition, in actual production, the three-dimensional dimensions of length, width and depth should be included.

[0052] At the same time, in the description of the present invention, it should be noted that the directions or positional relationships indicated by the terms "upper, lower, inner and outer" are based on the directions or positional relationships shown in the drawings, and are only for the convenience of describing the present invention and simplifying the description, rather than indicating or implying that the device or element referred to must have a specific direction, be constructed and operated in a specific direction, and therefore cannot be understood as limiting the present invention. In addition, the terms "first, second or third" are only used for descriptive purposes and cannot be understood as indicating or implying relative importance.

[0053] In the present invention, unless otherwise clearly specified and limited, the terms "install, connect, connect" should be understood in a broad sense, for example: it can be a fixed connection, a detachable connection or an integral connection; it can also be a mechanical connection, an electrical connection or a direct connection, or it can be indirectly connected through an intermediate medium, or it can be the internal communication of two components. For ordinary technicians in this field, the specific meanings of the above terms in the present invention can be understood according to specific circumstances.

[0054] Example 1

[0055] Reference Figure 1 to Figure 3 , which is the first embodiment of the present invention, provides a detection method for a fire pump of a fire extinguishing system, comprising the following steps:

[0056] S1. Install the detection mechanism on the fire pump and collect the detection data.

[0057] The installation inspection mechanism includes: fire pump operating condition inspection, fire pump motor inspection, fire pump shaft temperature inspection, and fire pump operation vibration inspection; among them,

[0058] The method for installing the fire pump operation condition detection includes installing a vacuum detection module at the water inlet of the fire pump, and installing a flow detection module and a pressure detection module at the water outlet of the fire pump;

[0059] The method for installing a fire pump motor detection includes installing a power detection module and a valve opening detection module at the motor of the fire pump;

[0060] The method for installing a fire pump shaft temperature detection includes installing a temperature detection module at the pump shaft of the fire pump;

[0061] The method for installing a fire pump operation vibration detection comprises installing a vibration detection module at a base of the fire pump.

[0062] After collecting the test data, the integrity of the test data is verified. The specific verification methods include:

[0063] The detection interval length X is set, and after each detection interval length X, the detection data of the fire pump is collected by the detection mechanism;

[0064] Obtain the type of testing organization used, and establish data types in sequence according to the type of testing organization;

[0065] Delete the content in the data type, and then fill the test data into the data type according to the type of the testing organization;

[0066] Determine whether the content in the data type is missing. If the judgment result is that there is no missing content, it proves that the test data is complete. If the judgment result is missing, the next test interval is adjusted to Y, and then the test data is collected again, and the integrity of the test data is re-verified;

[0067] When the verification result is complete, the next detection interval is restored to X, and the detection data is output normally. When the verification result is still missing, an alarm is issued to remind the staff;

[0068] Among them, the detection interval length Y is less than the detection interval length X;

[0069] For example, if the detection interval X is set to 60s, the installed detection mechanism collects data from the fire pump every 60s, and sets the corresponding file table according to the preset detection mechanism type, such as Figure 2 As shown, the test data collected each time is recorded and the test time is unified. Then the group of test data is analyzed and judged. When there is a real problem, Figure 3 As shown, at this time, if the detection data of the power supply detection type is missing, the detection interval Y is adjusted to 5s, and all the detection data are refreshed again after 5s, and it is determined again whether the detection data is complete. When the detection data is still missing, an alarm is issued to remind the staff.

[0070] S2. Judge the collected detection data in sequence.

[0071] The method of judging the collected test data is a hierarchical judgment method;

[0072] The operation steps of the hierarchical judgment formula include: classifying the judgment results of the detection data into high-level abnormalities, low-level abnormalities and safe operation;

[0073] When the judgment result is a low-level abnormality, the corresponding execution module is started according to the type of the detection mechanism, and the operation mode of the fire pump is adjusted through the execution module, and a re-judgment is performed. When the result is normal, there is no response. When the result is still abnormal, the judgment result is modified to a high-level abnormality;

[0074] When the judgment result is a high-level abnormality, the data type is entered into the database, and the number of abnormalities of the data type is increased by 1. The operation mode of the fire pump is adjusted through the execution module and judged again. When the result is normal, there is no response. When the result is still abnormal, the maintenance personnel are reminded to repair.

[0075] According to different judgment methods, the judgment results of the detection data are divided into high-level anomalies, low-level anomalies and safe operation. When the number of high-level anomalies of a certain type of detection data is large, it indicates that problems often occur in a certain part of the fire pump. A threshold for the number of anomalies can also be set. When the number of anomalies of the recorded data type exceeds the threshold, the staff will be automatically reminded.

[0076] The fire pump operation condition detection and judgment method is to set the vacuum standard value, flow standard value and pressure standard value. When the actual vacuum value, flow actual value and pressure actual value are all greater than the corresponding standard values, the fire pump operation condition detection result is normal. When any one of the actual values ​​is not greater than the corresponding standard value, the fire pump operation condition detection result is a low-level abnormality. When any two or three of the actual values ​​are not greater than the corresponding standard value, the fire pump operation condition detection result is a high-level abnormality.

[0077] The fire pump motor detection and judgment method is to set the current safety range, judge whether the actual current value obtained by the power supply detection module is within the current safety range, and judge whether the fire pump valve is in the open state through the valve opening detection module. When both judgment results are yes, the fire pump motor detection result is normal. When one of the judgment results is yes, the fire pump motor detection result is a low-level abnormality. When both judgment results are no, the fire pump motor detection result is a high-level abnormality.

[0078] The fire pump shaft temperature detection and judgment method is to set a safe temperature threshold. When the actual temperature value obtained by the temperature detection module is less than the safe temperature threshold, the fire pump shaft temperature detection result is normal. When the actual temperature value obtained by the temperature detection module is not less than the safe temperature threshold, the safe temperature judgment value is calculated. When the actual temperature value is less than the safe temperature judgment value, the fire pump motor detection result is a low-level abnormality. When the actual temperature value is not less than the safe temperature judgment value, the fire pump motor detection result is a high-level abnormality, wherein the safe temperature judgment value = safe temperature threshold × K, and 1.3≤K≤1.5, K is expressed as a multiple;

[0079] The fire pump operation vibration detection and judgment method is to set the normal acceleration range. When the vertical acceleration obtained by the vibration detection module is within the normal acceleration range, the fire pump operation vibration detection result is normal. When the vertical acceleration obtained by the vibration detection module is not within the normal acceleration range, the fire pump operation vibration detection result is a low-level abnormality.

[0080] When the type of the detection mechanism is the fire pump operating condition detection, the corresponding execution module operates as air in the pump, pump suction blockage, and abnormal pump flow;

[0081] When the type of the detection mechanism is fire pump motor detection, the corresponding execution module operates as power supply abnormality and valve not closed;

[0082] When the type of the detection mechanism is fire pump shaft temperature detection, the corresponding execution module operates as pump shaft high temperature operation;

[0083] When the type of the detection mechanism is fire pump operation vibration detection, the corresponding execution module operates as abnormal vibration.

[0084] S3. Based on the judgment results, a fault correlation model is established and a comprehensive report is generated.

[0085] The operation steps of the fault correlation model are:

[0086] When the judgment result shows a low-level abnormality or a high-level abnormality, obtain the group of test data, and mark the abnormal data type as transformed data. Then solve the abnormal problem, obtain the test data again, and compare the remaining data types in the test data. Set the deviation value, and judge whether the difference between the two groups of data types is greater than the deviation value. If there is a data type greater than the deviation value, mark the data type as a type to be confirmed, and repeat the verification method until the verification standard value is reached. According to the verification result, judge whether the data type is an associated fault type;

[0087] In a specific implementation, for example, the actual value of the vacuum degree detection is 35KPa, while the standard value of the vacuum degree detection is 85KPa. In this case, the vacuum degree detection is in an abnormal state. The vacuum degree detection is then marked as a transformed data, and the rest of the detection data at the same time is obtained, that is, the actual value of the flow detection is 180L / S, the pressure detection is 1.7MPa, etc. When the staff completes the maintenance of the fire pump, the actual value of the vacuum degree detection is 90KPa, and the rest of the detection data at that time is obtained again, that is, the actual value of the flow detection is 250L / S, the pressure detection is 1.8MPa, etc. For example, if the deviation value set for flow detection is 20L / S, and the deviation value set for pressure detection is 0.4MPa, by comparing the two sets of detection data, when the vacuum detection is abnormal, the actual flow detection value is 180L / S, and when the vacuum detection is normal, the actual flow detection value is 250L / S, which is higher than the set flow monitoring deviation value. Therefore, the flow detection is marked as a pending confirmation type. When the vacuum detection is abnormal, the actual pressure detection value is 1.7MPa, and when the vacuum detection is normal, the actual pressure detection value is 1.8MPa, indicating that the pressure detection and vacuum detection are not related;

[0088] After the flow detection is marked as the pending confirmation type, the verification standard number is set to 10 times, among which the verification standard value is 8 times. That is, when there are 10 vacuum detection abnormalities, at least 8 flow detections must be marked as the pending confirmation type, then it can be determined that the vacuum detection and flow detection are related fault types.

[0089] In summary, by using the technology of graded judgment to classify the detection data into high-level anomalies, low-level anomalies and safe operation, it is possible to more accurately identify problems occurring during the operation of the fire pump and take appropriate measures according to the severity of the problem. Secondly, for detection data that frequently presents high-level anomalies, it can enable staff to pay special attention to the situation.

[0090] The fault correlation model analyzes the relationship between multiple detection data and identifies potential fault chains, which helps to quickly locate the root cause of the fault and provide a more comprehensive fault solution. This model not only improves the efficiency of fault handling, but also effectively reduces the occurrence of repeated faults and extends the service life of the system.

[0091] Example 2

[0092] On the basis of the first embodiment, this embodiment further provides a detection system for a fire pump of a fire extinguishing system, comprising a data acquisition module, a judgment module, and an analysis module;

[0093] The data acquisition module is used to collect the detection data of the fire pump through the detection mechanism and to check the integrity of the detection data;

[0094] The judgment module is used to judge and analyze the detection data, and start the corresponding execution module according to the analysis result;

[0095] The analysis module is used to establish a fault association model according to the detection data.

[0096] This embodiment also provides a computer device, which is suitable for the detection method of the fire pump of the fire extinguishing system, including a memory and a processor; the memory is used to store computer executable instructions, and the processor is used to execute the computer executable instructions to implement the detection method for the fire pump of the fire extinguishing system proposed in the above embodiment.

[0097] The computer device may be a terminal, and the computer device includes a processor, a memory, a communication interface, a display screen and an input device connected via a system bus. The processor of the computer device is used to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system and a computer program. The internal memory provides an environment for the operation of the operating system and the computer program in the non-volatile storage medium. The communication interface of the computer device is used to communicate with an external terminal in a wired or wireless manner, and the wireless manner can be achieved through WIFI, an operator network, NFC (near field communication) or other technologies. The display screen of the computer device may be a liquid crystal display screen or an electronic ink display screen, and the input device of the computer device may be a touch layer covering the display screen, or a key, trackball or touchpad provided on the housing of the computer device, or an external keyboard, touchpad or mouse, etc.

[0098] This embodiment further provides a storage medium on which a computer program is stored. When the program is executed by a processor, the detection method for a fire pump of a fire extinguishing system as proposed in the above embodiment is implemented.

[0099] The storage medium proposed in this embodiment and the data storage method proposed in the above embodiment belong to the same inventive concept. The technical details not fully described in this embodiment can be found in the above embodiment, and this embodiment has the same beneficial effects as the above embodiment.

[0100] Example 3

[0101] On the basis of the previous two embodiments, this embodiment provides a detection method for a fire pump of a fire extinguishing system. In order to verify the beneficial effects of the present invention, a scientific demonstration is carried out through simulation experiments.

[0102] Demonstration method: Data is collected under normal operation and fault conditions of the fire pump system, including simulation of common faults such as abnormal flow, abnormal pressure, motor overload, excessive shaft temperature, abnormal vibration, etc.

[0103] Fault detection is performed using the prior art and the method of the present invention respectively: the detection results are recorded, including the accuracy of abnormality identification, the speed and accuracy of fault location, and the inspection of data integrity.

[0104] Existing detection methods can only identify a single fault and determine whether the equipment is operating normally, but it is difficult to accurately distinguish the severity of the abnormality.

[0105] The fault status detection table is as follows:

[0106] parameter Standard value Existing methods The present invention Current results Results of the present invention Vacuum degree (kPa) ≥80 75 75 abnormal Low-level exceptions Flow rate (L / min) ≥100 90 90 abnormal Low-level exceptions Pressure(MPa) ≥0.5 0.4 0.4 abnormal Advanced Exceptions Current (A) 10-20 25 25 abnormal Advanced Exceptions Shaft temperature (℃) ≤70 75 75 abnormal Advanced Exceptions <![CDATA[Vibration (m / s 2 )]]> ≤0.5 0.6 0.6 abnormal Low-level exceptions

[0107] It can be seen from the table that in the hierarchical judgment of Heshi Town, the present invention can identify anomalies more accurately and reduce false alarms. When multiple faults occur at the same time, the present invention can quickly identify the fault chain through the fault association model, which can be used to locate the root cause of the fault.

[0108] It should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention rather than to limit it. Although the present invention has been described in detail with reference to the preferred embodiments, those skilled in the art should understand that the technical solutions of the present invention may be modified or replaced by equivalents without departing from the spirit and scope of the technical solutions of the present invention, which should all be included in the scope of the claims of the present invention.

Claims

1. A method for detecting a fire pump of a fire extinguishing system, characterized in that: The following steps are included: Install a testing mechanism on the fire pump and collect test data; The collected test data are judged in sequence; Based on the judgment results, a fault correlation model is established and a comprehensive report is generated.

2. The detection method for a fire pump of a fire extinguishing system according to claim 1, characterized in that: The installation inspection mechanism includes: fire pump operating condition inspection, fire pump motor inspection, fire pump shaft temperature inspection, and fire pump operation vibration inspection; among them, The method for installing the fire pump operation condition detection includes installing a vacuum detection module at the water inlet of the fire pump, and installing a flow detection module and a pressure detection module at the water outlet of the fire pump; The method for installing a fire pump motor detection includes installing a power detection module and a valve opening detection module at the motor of the fire pump; The method for installing a fire pump shaft temperature detection includes installing a temperature detection module at the pump shaft of the fire pump; The method for installing a fire pump operation vibration detection comprises installing a vibration detection module at a base of the fire pump.

3. The detection method for a fire pump of a fire extinguishing system according to claim 2, characterized in that: After collecting the test data, the integrity of the test data is verified. The specific verification methods include: The detection interval length X is set, and after each detection interval length X, the detection data of the fire pump is collected by the detection mechanism; Obtain the type of testing organization used, and establish data types in sequence according to the type of testing organization; Delete the content in the data type, and then fill the test data into the data type according to the type of the testing organization; Determine whether the content in the data type is missing. If the judgment result is that there is no missing content, it proves that the test data is complete. If the judgment result is missing, the next test interval is adjusted to Y, and then the test data is collected again, and the integrity of the test data is re-verified; When the verification result is complete, the next detection interval is restored to X, and the detection data is output normally. When the verification result is still missing, an alarm is issued to remind the staff; Among them, the detection interval duration Y is less than the detection interval duration X.

4. The detection method for a fire pump of a fire extinguishing system according to claim 3, characterized in that: The method of judging the collected test data is a hierarchical judgment method; The operation steps of the hierarchical judgment formula include: classifying the judgment results of the detection data into high-level abnormalities, low-level abnormalities and safe operation; When the judgment result is a low-level abnormality, the corresponding execution module is started according to the type of the detection mechanism, and the operation mode of the fire pump is adjusted through the execution module, and a re-judgment is performed. When the result is normal, there is no response. When the result is still abnormal, the judgment result is modified to a high-level abnormality; When the judgment result is a high-level abnormality, the data type is entered into the database, and the number of abnormalities of the data type is increased by 1. The operation mode of the fire pump is adjusted through the execution module and judged again. When the result is normal, there is no response. When the result is still abnormal, the maintenance personnel are reminded to repair.

5. The detection method for a fire pump of a fire extinguishing system according to claim 4, characterized in that: The fire pump operation condition detection and judgment method is to set the vacuum standard value, flow standard value and pressure standard value. When the actual vacuum value, flow actual value and pressure actual value are all greater than the corresponding standard values, the fire pump operation condition detection result is normal. When any one of the actual values ​​is not greater than the corresponding standard value, the fire pump operation condition detection result is a low-level abnormality. When any two or three of the actual values ​​are not greater than the corresponding standard value, the fire pump operation condition detection result is a high-level abnormality. The fire pump motor detection and judgment method is to set the current safety range, judge whether the actual current value obtained by the power supply detection module is within the current safety range, and judge whether the fire pump valve is in the open state through the valve opening detection module. When both judgment results are yes, the fire pump motor detection result is normal. When one of the judgment results is yes, the fire pump motor detection result is a low-level abnormality. When both judgment results are no, the fire pump motor detection result is a high-level abnormality. The fire pump shaft temperature detection and judgment method is to set a safe temperature threshold. When the actual temperature value obtained by the temperature detection module is less than the safe temperature threshold, the fire pump shaft temperature detection result is normal. When the actual temperature value obtained by the temperature detection module is not less than the safe temperature threshold, the safe temperature judgment value is calculated. When the actual temperature value is less than the safe temperature judgment value, the fire pump motor detection result is a low-level abnormality. When the actual temperature value is not less than the safe temperature judgment value, the fire pump motor detection result is a high-level abnormality, wherein the safe temperature judgment value = safe temperature threshold × K, and 1.3≤K≤1.5, K is expressed as a multiple; The fire pump operation vibration detection and judgment method is to set the normal acceleration range. When the vertical acceleration obtained by the vibration detection module is within the normal acceleration range, the fire pump operation vibration detection result is normal. When the vertical acceleration obtained by the vibration detection module is not within the normal acceleration range, the fire pump operation vibration detection result is a low-level abnormality.

6. The detection method for a fire pump of a fire extinguishing system according to claim 5, characterized in that: When the type of the detection mechanism is the fire pump operating condition detection, the corresponding execution module operates as air in the pump, pump suction blockage, and abnormal pump flow; When the type of the detection mechanism is fire pump motor detection, the corresponding execution module operates as power supply abnormality and valve not closed; When the type of the detection mechanism is fire pump shaft temperature detection, the corresponding execution module operates as pump shaft high temperature operation; When the type of the detection mechanism is fire pump operation vibration detection, the corresponding execution module operates as abnormal vibration.

7. The detection method for a fire pump of a fire extinguishing system according to claim 6, characterized in that: The operation steps of the fault correlation model are: When the judgment result shows a low-level abnormality or a high-level abnormality, obtain the group of detection data, and mark the abnormal data type as transformed data. Then solve the abnormal problem, obtain the detection data again, and compare the remaining data types in the detection data. Set the deviation value, and judge whether the difference between the two groups of data types is greater than the deviation value. When there is a data type greater than the deviation value, mark the data type as a type to be confirmed, and repeat the verification method until the verification standard value is reached. According to the verification result, judge whether the data type is an associated fault type.

8. A detection system for a fire pump of a fire extinguishing system, based on the detection method for a fire pump of a fire extinguishing system according to any one of claims 1 to 7, characterized in that: It includes a data collection module, a judgment module, and an analysis module; The data acquisition module is used to collect the detection data of the fire pump through the detection mechanism and to check the integrity of the detection data; The judgment module is used to judge and analyze the detection data, and start the corresponding execution module according to the analysis result; The analysis module is used to establish a fault association model according to the detection data.

9. A computer device comprising a memory and a processor, wherein the memory stores a computer program, wherein: When the processor executes the computer program, the steps of the detection method for a fire pump of a fire extinguishing system according to any one of claims 1 to 7 are implemented.

10. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the steps of the detection method for a fire pump of a fire extinguishing system according to any one of claims 1 to 7 are implemented.

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