Triggering method and triggering device for point inspection of rail crane, electronic equipment and rail crane

Abstract

The invention provides a track crane point inspection triggering method and device, electronic equipment and a track crane. By combining the real-time operation data, the historical point inspection data and the preset rule set of the rail crane, point inspection is intelligently triggered, and the defect of fixed-period point inspection in the prior art is overcome. Firstly, the actual operation state of the equipment can be dynamically evaluated by acquiring the operation data of the rail crane and performing preliminary judgment, so that the potential risk caused by too long or too short point inspection in a fixed period is avoided. And after the primary judgment result is passed, the control device further performs deeper final judgment based on the historical point inspection data and the operation data, so that the accuracy of point inspection triggering is ensured.

Description

Technical Field

[0001] The present invention relates to the technical field of rail cranes, and in particular to a triggering method for inspection of rail cranes, a triggering device, electronic equipment and a rail crane. Background Art

[0002] Underground monorail crane is a kind of rail transportation equipment suitable for mine tunnels, mainly used for the transportation of materials, equipment and personnel in mines. Its operation relies on the monorail track system installed on the top of the tunnel. The crane travels along the track, which is efficient, safe and flexible. It is an important part of the modern mine transportation system.

[0003] Due to the complex mining environment, the operation of rail cranes needs to be highly reliable and safe. Therefore, daily inspection of equipment is particularly critical.

[0004] In the prior art, the triggering method for the inspection of the rail crane has the technical problem of being not flexible enough. Summary of the invention

[0005] The purpose of the present invention is to overcome the above-mentioned technical deficiencies and provide a triggering method, a triggering device, an electronic device and a rail crane for rail crane inspection, so as to solve the technical problem in the related art that the triggering method for rail crane inspection is not flexible enough.

[0006] In order to achieve the above technical objectives, the present invention adopts the following technical solutions: In a first aspect, the present invention provides a method for triggering a railway crane inspection, the method comprising: Obtain the operation data of the rail crane; Inputting the operation data into the preset first rule set for preliminary judgment to determine whether inspection is required; If the initial judgment is passed, at least the last historical inspection data is obtained; At least based on the last historical inspection data, the operation data and the preset second rule set, a final judgment is made to make a final judgment on whether an inspection is needed; When it is finally determined that a spot check is necessary, the preset measures are executed to trigger the spot check.

[0007] In a second aspect, the present invention provides a trigger device for inspection of a rail crane, the device comprising: A first acquisition module, which is used to acquire operation data of the rail crane; An initial judgment module is used to input the operation data into a preset first rule set for initial judgment to determine whether a spot inspection is required; The second acquisition module is used to obtain at least the last historical inspection data when the initial judgment is passed; A final judgment module, which is used to make a final judgment based on at least the last historical inspection data, the operation data and a preset second rule set, so as to make a final judgment on whether an inspection is needed; The execution module is used to execute preset measures to trigger the spot inspection when it is finally determined that the spot inspection is needed.

[0008] In a third aspect, the present invention provides an electronic device comprising: a memory, and one or more processors communicatively connected to the memory; the memory stores instructions executable by the one or more processors, and the instructions are executed by the one or more processors so that the one or more processors implement the above-mentioned method.

[0009] In a fourth aspect, the present invention provides a rail crane, which is used to execute the above method or includes the above electronic device.

[0010] Beneficial effects: This embodiment intelligently triggers inspections by combining the real-time operating data, historical inspection data and preset rule sets of the rail crane, thereby solving the shortcomings of fixed-period inspections in the prior art. First, by acquiring the operating data of the rail crane and making a preliminary judgment, the actual operating status of the equipment can be dynamically evaluated, avoiding the potential risks caused by too long or too short fixed-period inspections. After the initial judgment result is passed, the control device further makes a more in-depth final judgment based on the historical inspection data and operating data to ensure the accuracy of the inspection trigger. This data-driven intelligent inspection triggering method can flexibly adjust the inspection cycle according to the actual operating conditions of the equipment, detect potential faults in a timely manner, and reduce the risk of sudden downtime, thereby effectively improving the reliability and production efficiency of the equipment. In addition, it avoids the waste of resources due to too frequent inspections, making the inspection work more efficient and accurate. BRIEF DESCRIPTION OF THE DRAWINGS

[0011] Figure 1 It is a flow chart of a method for triggering a rail crane inspection provided by an embodiment of the present invention; Figure 2 It is a flow chart of a method for triggering a rail crane inspection provided by an embodiment of the present invention; Figure 3 is a block diagram of a trigger device for inspection of a rail crane used in an embodiment of the present invention; Figure 4 It is a block diagram of an electronic device used in an embodiment of the present invention. DETAILED DESCRIPTION

[0012] In order to enable those skilled in the art to better understand the solution of the present application, the technical solution in the embodiments of the present application will be clearly and completely described below in conjunction with the drawings in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without creative work should fall within the scope of protection of the present application.

[0013] In the related art, the triggering method of rail crane inspection usually relies on a fixed-cycle inspection method. Although this fixed-cycle inspection method can regularly check the equipment status, it has a significant technical problem of insufficient flexibility. First, fixed-cycle inspections usually do not take into account the actual operating status of the equipment, which can easily lead to unreasonable inspection cycle settings. When the inspection cycle is too long, the equipment may have accumulated failure risks before the next inspection, and potential failure hazards cannot be discovered in time, increasing the probability of sudden failures, especially in complex and dangerous working environments such as mines. Sudden equipment shutdown failures may cause serious production stagnation and safety accidents, causing huge economic losses. On the other hand, when the inspection cycle is too short, although the frequency of inspections can be increased, too frequent inspections will not only waste a lot of time and human resources, but may also lead to inefficiency and affect production efficiency.

[0014] Therefore, the fixed-period inspection method in the prior art has great limitations in ensuring equipment safety and improving production efficiency. It is impossible to flexibly adjust the inspection cycle according to the actual operating status and risk situation of the equipment, which has become a technical problem that needs to be solved urgently.

[0015] like Figure 1 As shown, this embodiment provides a method for triggering inspection of a rail crane, which can be executed by a control device of the rail crane, and the method may include: Step S12: Acquire the operation data of the rail crane.

[0016] In this embodiment, the operation data may include current engine operation time data, cumulative engine operation time data, fuel level data or engine temperature data. Specifically, the current engine operation time data may be the operation time data of the current rail crane since it was started. The cumulative engine operation time data may be the accumulation of engine operation time data since the last inspection. The fuel level data may be the data of fuel level changes during the current operation. The engine temperature data may be the temperature change data during the current operation.

[0017] In some embodiments, the operating data may also include oil pressure data, engine speed data, vibration data, battery voltage data, coolant temperature and level data, and the like.

[0018] In this embodiment, the step of obtaining the operation data of the rail crane may include: First, the control device determines the current engine operation time data and the accumulated engine operation time data based on the start signal.

[0019] Then, the control device sends a data acquisition request to a preset sensor device; wherein the sensor device includes a fuel level sensor or an engine temperature sensor.

[0020] It is understandable that the control device (eg, DSP, MCU or PLC, etc.) is electrically connected to the above-mentioned sensor device (fuel level sensor or engine temperature sensor, etc.), and data can be exchanged with each other.

[0021] Finally, the control device receives the operating data returned by the sensor device.

[0022] Step S14: inputting the operation data into a preset first rule set for preliminary determination to determine whether a spot check is required.

[0023] In this implementation, the first rule set may include multiple judgment conditions, which may specifically include: 1. Whether the engine running time data exceeds the first time preset value.

[0024] Specifically, the main purpose of this judgment condition is to check the engine running time after the current startup and determine whether it has reached the threshold for spot inspection. It is understandable that after the engine has been running for a period of time, problems such as wear and excessive heat load may occur, so periodic inspections are required. Therefore, by obtaining the engine running time data after the current startup and comparing it with the set first time preset value. For example, if the set preset value is 50 hours, then when the current running time exceeds 50 hours, it is triggered to determine that a spot inspection is required.

[0025] 2. Whether the accumulated engine running time data exceeds the second time preset value.

[0026] Specifically, the judgment condition can detect the cumulative operating time of the rail crane since it was put into use (or since the last inspection). Considering that the engine of the rail crane may have gradually accumulated wear and failure risks after long-term operation, regular inspections are required. Different from the current operating time, the cumulative operating time can take into account the total operating time during the entire use cycle. The control device compares the current cumulative operating time with the second time preset value. For example, assuming that the cumulative engine operating time data exceeds 1000 hours, the control device will believe that the working state of the equipment may have changed, and there may be hidden dangers, triggering an inspection.

[0027] 3. Judgment condition of whether the fuel level data is lower than the preset level value.

[0028] Specifically, the fuel level is a key parameter for normal operation. A too low fuel level may cause the engine to stall or be unable to continue working, or it may mean that there is a leak in the fuel system. The purpose of this judgment condition is to check whether the fuel level is lower than the set warning threshold to ensure the normal operation of the fuel system. The real-time level data is obtained through the fuel level sensor, and the control device compares it with the preset level value. For example, the level warning value is set to 20%. If the level is lower than this value, the control device will think that the fuel is insufficient or there may be a leak, triggering a spot inspection.

[0029] 4. Judgment conditions for whether the engine temperature data exceeds the preset temperature value.

[0030] Specifically, it is understandable that excessively high engine temperature may cause the engine to overheat, which in turn may cause damage or malfunction. Therefore, it is very important to check whether the engine temperature is within the normal range. If the engine temperature exceeds the preset safety threshold, it means that there may be hidden dangers such as cooling system problems and overload operation. The control device can compare the engine temperature collected in real time with the preset temperature value. For example, if the preset value is 95°C, when the temperature exceeds this value, the control device will determine it as abnormal, and it may be necessary to check the cooling system, thermal management or other potential problems.

[0031] In some implementations, the first rule set may further include: 5. Check whether the oil pressure data is lower than the set warning value.

[0032] 6. Whether the engine speed exceeds the normal range.

[0033] 7. Whether the vibration data exceeds the preset normal range.

[0034] 8. Is the coolant level lower than the minimum safety value?

[0035] In this embodiment, the step of inputting the operation data into a preset first rule set for preliminary determination to determine whether a spot check is required may include: First, the control device matches the operation data with the corresponding judgment conditions in the first rule set to obtain a judgment result for each judgment condition; wherein the judgment result is used to indicate whether the judgment condition is established.

[0036] Specifically, the control device can match and judge the current engine running time data, the cumulative engine running time data, the fuel level data or the engine temperature data and the oil pressure data, the engine speed data, the vibration data, the battery voltage data and the coolant temperature and level data, etc. with the corresponding judgment conditions in the first rule set to obtain the corresponding judgment results.

[0037] It is understood that in this embodiment, the judgment result may include two results, one is that the judgment condition cannot be established, and the other is that the judgment condition can be established. The judgment condition can be established means that after comparing the operation data of the rail crane with the various judgment conditions in the first rule set, if the comparison result of a certain judgment condition meets the preset requirements, then the judgment condition is established, that is, one of the conditions for triggering the inspection. For example, if the control device detects that a certain parameter (such as engine running time, oil pressure, etc.) exceeds the set threshold, or the state of a certain device does not meet the preset safety standard, this condition will be considered to be established. For example, if the engine running time exceeds the preset preset value (such as 50 hours), the judgment condition is established. If the fuel level is lower than the preset level threshold (such as 20%), the judgment condition is established. If the engine temperature exceeds the set temperature threshold (such as 95°C), the judgment condition is established. In this case, the control device believes that the corresponding judgment condition reflects a potential problem or risk, indicating that the equipment may need to be inspected or further checked. If the operation data of the equipment does not exceed or fall below the preset threshold, or the equipment does not fail to meet the standard during operation, the judgment condition is not established. For example, if the engine operation time does not exceed the set threshold (such as 50 hours), the judgment condition is not met. If the fuel level is higher than the preset value (such as 20%), the judgment condition is not met. If the engine temperature is lower than or equal to 95°C, the judgment condition is not met. In this case, the control device considers that the current equipment status is normal and no inspection is required.

[0038] Then, the control device counts the number of determination conditions that are satisfied in the determination results.

[0039] In this embodiment, after the control device makes a judgment based on the operation data and the first rule set, each judgment condition will give a result: established or not established. Then, the control device counts these judgment results to obtain the number of established judgment conditions.

[0040] Finally, the control performs the following judgment: if the number of judgment conditions that are met is greater than or equal to the preset number threshold, it is judged that a spot check is required; if the number of judgment conditions that are met is less than the preset number threshold, it is judged that a spot check is not required.

[0041] In this embodiment, the control device can compare the number of judgment conditions that are met with the set number threshold to obtain the final result of whether a spot inspection is required. If the number of judgment conditions that are met is greater than or equal to the preset number threshold, it is determined that a spot inspection is required. This means that there are potential problems or risks in multiple key parameters of the current equipment, and a spot inspection is required to confirm the equipment status and avoid failures. If the number of judgment conditions that are met is less than the preset number threshold, it is determined that a spot inspection is not required. This means that although some conditions are triggered, the overall operating status has not reached the level that requires a spot inspection, and the equipment can continue to operate normally, avoiding unnecessary spot inspections.

[0042] Step S16: If the initial judgment is passed, at least the last historical inspection data is obtained.

[0043] In this embodiment, the situation of passing the preliminary judgment is also the situation that multiple judgment conditions in the first rule set can be satisfied (for example, there are ten judgment conditions in the first rule set, and eight of them are satisfied, that is, the number of judgment conditions that are satisfied is greater than or equal to the preset number threshold). It can be understood that the number threshold is preset, so the situation of passing the preliminary judgment can also be the situation that all judgment conditions in the first rule set are satisfied.

[0044] In a specific embodiment, the first rule set may include multiple judgment conditions, which may specifically include: 1. Whether the engine running time data exceeds the first time preset value.

[0045] 2. Whether the accumulated engine running time data exceeds the second time preset value.

[0046] 3. Judgment conditions for whether the fuel level data exceeds the preset level value.

[0047] 4. Judgment conditions for whether the engine temperature data exceeds the preset temperature value.

[0048] In this embodiment, the situation where the preliminary judgment is passed may be the situation where all the above judgment conditions are met, for example: The judgment condition that the engine running time data exceeds the first time preset value.

[0049] The judgment condition is that the accumulated engine running time data exceeds the second time preset value.

[0050] The judgment condition that the fuel level data is lower than the preset value of the level.

[0051] The judgment condition that the engine temperature data exceeds the temperature preset value.

[0052] In this embodiment, when the initial judgment is passed, the previous historical inspection data can be obtained.

[0053] In this embodiment, when the initial judgment is passed, historical inspection data of previous times may also be obtained.

[0054] In this embodiment, when the initial judgment is passed, the last historical inspection data and the last fault repair data can be obtained.

[0055] In this embodiment, when the initial judgment is passed, the historical inspection data of the previous times and the fault repair data of the previous times can be obtained.

[0056] In this embodiment, the control device sends a data acquisition request to the server / database electrically or communicatively connected thereto to obtain the last historical inspection data. Or obtain the previous historical inspection data. Or obtain the last historical inspection data and the last fault repair data. Or obtain the previous historical inspection data and the previous fault repair data.

[0057] Step S18: performing a final judgment based at least on the last historical inspection data, the operation data and the preset second rule set to determine whether an inspection is required.

[0058] In this embodiment, the control device can make a final judgment based on the last historical inspection data, the operating data and the preset second rule set to make a final judgment on whether an inspection is required.

[0059] Specifically, in a specific implementation scheme, the second rule set may include the following judgment conditions: 1. Whether the changing trend of the operating data is abnormal and whether the abnormal trend has never appeared in the previous historical inspection data.

[0060] More specifically, for example, the trend of changes in historical inspection data and current operating data can be compared, the rate of change or difference value can be calculated, and compared with the set threshold value to determine whether it exceeds the normal range. For example, the current temperature can be compared with the temperature at the last historical inspection. If the current temperature exceeds the maximum value at the historical inspection and the temperature rise trend is obvious, the inspection is triggered. The oil pressure can be compared. If the current oil pressure is lower than the lowest value at the historical inspection and the oil pressure drops faster, it indicates that there may be problems such as oil leakage, triggering an inspection.

[0061] 2. Based on the last historical inspection data, determine whether the current operating data meets the risk of failure.

[0062] More specifically, for example, if a potential problem with the equipment (hidden dangers in the cooling system, oil circuit, etc.) was discovered during the last inspection, and the current operating data (temperature, oil pressure, etc.) is close to or exceeds the historical abnormal value, it means that the equipment problem has not been completely solved and an inspection is required. For example, if a component has been repaired or replaced in the historical inspection record, and the current operating data shows that the operating status of the component has not returned to normal (such as the temperature gradually increases), an inspection is triggered. That is, the control device can identify and extract the type of fault or abnormal condition that has occurred based on the last historical inspection record, compare this information with the current operating data, and determine whether there is a risk of repeated failures.

[0063] In this embodiment, the control device can make a final judgment based on the historical inspection data of previous times, the operating data and the preset second rule set to make a final judgment on whether an inspection is required.

[0064] Specifically, in a specific implementation scheme, the second rule set may include the following judgment conditions: 1. Whether the trend of changes in historical inspection data indicates the existence of potential failure risks.

[0065] It is understandable that the control device can determine whether there is a trend of gradual deterioration in the inspection items of the equipment by analyzing the time series of historical inspection data. If the trend of the inspection data indicates that certain indicators (such as wear degree, temperature, vibration, etc.) are approaching or exceeding the preset warning threshold, it is considered that there is a potential failure risk.

[0066] 2. Whether the changing trend of historical inspection data shows the existence of potential failure risks and whether the displayed failure risks may exist in the judgment conditions in the operating data.

[0067] For example, if the previous inspection records show that the equipment temperature has gradually increased, and the current operating data shows that the temperature is still rising, the equipment may be at risk of cooling system failure or overload. At this time, an inspection is triggered.

[0068] For another example, if the oil pressure in the historical inspection data gradually decreases, and the current operating data shows that the oil pressure continues to decrease, there may be oil leakage, oil pump failure or other problems in the oil system, triggering an inspection. For another example, if the vibration data in the previous inspection records gradually increases, and the current vibration data exceeds the normal range, it indicates that the mechanical parts may be worn or loose, triggering an inspection.

[0069] 3. Whether the changing trend of the operating data shows the conditions for judging whether there is a potential failure risk.

[0070] For example, if the current operation time of the current equipment has exceeded the preset threshold (such as 50 hours), and the historical inspection data has not shown abnormal conditions under similar operation time, then the inspection is triggered. For another example, if the current operation data (such as temperature, oil pressure, vibration, etc.) exceeds the historical normal range, and there is no similar record of such abnormal trend in the historical inspection data, it may indicate that the equipment has a new fault or problem, triggering an inspection.

[0071] In this embodiment, the control device can make a final judgment based on the last historical inspection data, the last fault repair data, the operating data and the preset second rule set to make a final judgment on whether an inspection is needed.

[0072] In this embodiment, the control device may make a final judgment based on the historical inspection data of previous times, the fault repair data of previous times, the operation data and the preset second rule set to make a final judgment on whether inspection is needed.

[0073] Specifically, the second rule set includes the following judgment conditions: 1. Whether the trend of changes in historical inspection data indicates the existence of potential failure risks.

[0074] It is understandable that the control device can determine whether there is a trend of gradual deterioration in the inspection items of the equipment by analyzing the time series of historical inspection data. If the trend of the inspection data indicates that certain indicators (such as wear degree, temperature, vibration, etc.) are approaching or exceeding the preset warning threshold, it is considered that there is a potential failure risk.

[0075] In a specific implementation scheme, the control device can fit the historical inspection data of the previous times through a preset algorithm (for example, linear regression, machine learning model, etc.) to predict future trends. The predicted trend is then compared with the preset threshold. If the trend shows that certain indicators may exceed the threshold in the short term, the judgment condition is triggered. Suppose the historical inspection data shows that the bearing vibration amplitude of the equipment is gradually increasing, and the vibration amplitude is rising with each inspection. If the preset vibration amplitude threshold is 10mm and the current vibration amplitude is 8mm, but the trend forecast shows that the vibration amplitude may reach 11mm during the next inspection, the control device will determine that there is a potential failure risk and trigger the inspection requirement.

[0076] 2. Whether the target fault type exists in the fault repair data and the operation data shows the judgment condition that the target fault type reappears.

[0077] It is understandable that the control device can predefine one or more fault types, such as bearing wear, motor overheating, etc. The control device can check whether the target fault type exists in the last and previous fault maintenance data. Then analyze the current operating data to determine whether there are abnormal indicators. If the corresponding abnormal indicators coincide with the target fault types in the last and previous fault maintenance data, it is determined that the fault type may reappear. It will also trigger the inspection requirements. For example, the control device can extract the target fault type from the fault maintenance data, such as "bearing wear". The control device then analyzes the current operating data to determine whether there are abnormal signs related to the target fault type. For example, if the target fault type is "bearing wear", check whether the current vibration amplitude is abnormal. If the operating data shows that the indicators related to the target fault type are abnormal, it is determined that the fault type may reappear.

[0078] 3. Whether the changing trend of the operating data is abnormal and whether the abnormal trend has never appeared in the historical inspection data.

[0079] It is understandable that the control device can determine whether there is an abnormality by analyzing the real-time change trend of the current operating data. If there is an abnormality, the control device can continue to check the historical inspection data to determine whether the trend has appeared in history. If it has not appeared, the control device will trigger the inspection requirement. Specifically, the control device can detect whether the change trend of the operating data is abnormal through an algorithm. Then compare the current abnormal trend with the historical inspection data to determine whether the trend has appeared in history. If the abnormal trend has not appeared, it will trigger the inspection requirement to further check the equipment status. For example, historical inspection data shows that the operating temperature of a certain equipment has been fluctuating between 20℃-30℃, and the current operating data shows that the temperature suddenly drops to 10℃, and the downward trend is rapid. If this temperature drop trend has never appeared in historical data, the control device will determine that there is an abnormality and trigger the inspection requirement.

[0080] Step S20: When it is finally determined that a spot check is required, a preset measure is executed to trigger the spot check.

[0081] In this embodiment, the execution of the preset measures to trigger the inspection may be that the control device issues a control instruction to the target mechanism so that the rail crane stops running. Specifically, the control device issues a stop instruction so that the rail crane stops running. The control device slows down or completely stops the crane by controlling the operation of the braking system.

[0082] In this embodiment, the execution of the preset measures to trigger the inspection can be that the control device sends a control instruction to the target mechanism, so that the rail crane runs to the target location and stops running. Specifically, it can be understood that the rail crane can be guided to a special inspection site, which can be equipped with a maintenance platform or related equipment to facilitate the staff to perform inspection operations. The location of the inspection site can be set in advance in the control device and navigated by a map or track location mark. The control device can automatically select the nearest and qualified parking area through sensors, map positioning or GPS technology. For example, the control device can select a shortest route to park according to the current location and destination of the rail crane.

[0083] The control device can plan the path of the rail crane through the automatic navigation system or the track positioning system to ensure that it moves along the predetermined track and avoids deviation from the track. The control device can control the speed of the rail crane according to the current distance between the rail crane and the target parking point, gradually reduce the speed, and ensure that it can stop smoothly when it reaches the target location.

[0084] In this embodiment, the execution of the preset measures to trigger the inspection may be that the control device sends a notification to the terminal of the staff to remind the identity and location of the rail crane to be inspected.

[0085] This embodiment intelligently triggers inspections by combining the real-time operating data, historical inspection data and preset rule sets of the rail crane, thereby solving the shortcomings of fixed-period inspections in the prior art. First, by acquiring the operating data of the rail crane and making a preliminary judgment, the actual operating status of the equipment can be dynamically evaluated, avoiding the potential risks caused by too long or too short fixed-period inspections. After the initial judgment result is passed, the control device further makes a more in-depth final judgment based on the historical inspection data and operating data to ensure the accuracy of the inspection trigger. This data-driven intelligent inspection triggering method can flexibly adjust the inspection cycle according to the actual operating conditions of the equipment, detect potential faults in a timely manner, and reduce the risk of sudden downtime, thereby effectively improving the reliability and production efficiency of the equipment. In addition, it avoids the waste of resources due to too frequent inspections, making the inspection work more efficient and accurate.

[0086] like Figure 2 As shown, in some embodiments, the operation data includes current engine operation time data, cumulative engine operation time data, fuel level data or engine temperature data; the step of obtaining the operation data of the rail crane includes: Step S122: Based on the start signal, determine the current engine running time data and the accumulated engine running time data.

[0087] In this embodiment, after the control device receives the start signal, the built-in clock module of the control device can start timing and start recording the time of this engine operation. The clock module will continuously update the timestamp according to the preset time granularity (per second, per minute, etc.). When the start signal is received, the clock module is initialized and starts timing. The timestamp is set to 0, indicating the initial time at the beginning of this operation cycle. The control device records the time difference from the start signal to the current moment through the clock module. The time difference is the engine operation time data of this time. The control device can monitor and continuously update the time data in real time until the engine stops. At the same time, the control device can also record and update the cumulative engine operation time data, that is, the total operation time of the equipment since it was put into use or the total operation time since the last inspection.

[0088] The control device can accumulate the duration of this operation cycle starting from the accumulated duration of the last shutdown. When the control device receives the start signal, the control device will add the current operation duration to the previous accumulated operation duration data to obtain new accumulated operation duration data.

[0089] Step S124: sending a data acquisition request to a preset sensor device; wherein the sensor device includes a fuel level sensor or an engine temperature sensor.

[0090] It is understandable that the fuel level sensor or the engine temperature sensor is communicatively connected or electrically connected to the control device.

[0091] Step S126: receiving the operating data returned by the sensor device.

[0092] This embodiment can monitor the working status of the equipment in real time by accurately acquiring the operating data of the rail crane, such as the current engine operating time, the cumulative engine operating time, the fuel level and the engine temperature, thereby providing a scientific basis for inspection and maintenance decisions. By determining the current and cumulative operating time data based on the start signal, the control device can accurately track the equipment's use cycle and workload, and identify potential failure risks in advance. At the same time, a data acquisition request is sent to the sensor device, and key data such as the fuel level and temperature are received in real time to ensure that the equipment's operating conditions are always under monitoring. This embodiment effectively improves the operating reliability and safety of the equipment, reduces the risk of failures, promotes intelligent and automated equipment management, and improves the efficiency of inspection and maintenance.

[0093] In some embodiments, the first rule set includes a judgment condition of whether the current engine running time data exceeds a first time preset value, a judgment condition of whether the cumulative engine running time data exceeds a second time preset value, a judgment condition of whether the fuel level data is lower than a level preset value, or a judgment condition of whether the engine temperature data exceeds a temperature preset value; The step of inputting the operation data into a preset first rule set for preliminary determination to determine whether a spot check is required comprises: Step S142: matching and judging the operation data with the corresponding judgment conditions in the first rule set to obtain a judgment result for each judgment condition; wherein the judgment result is used to indicate whether the judgment condition is satisfied.

[0094] In this embodiment, the control device can compare the real-time operation data of the rail crane with the judgment conditions in the preset first rule set one by one, and obtain the result of whether each judgment condition is satisfied. For example, does the engine running time this time exceed the first time preset value? If the running time this time exceeds the set value, the condition is satisfied. Does the cumulative engine running time exceed the second time preset value? If the cumulative running time exceeds the set value, the condition is satisfied. Is the fuel level lower than the level preset value? If the level is lower than the set value, the condition is satisfied. Does the engine temperature exceed the temperature preset value? If the temperature exceeds the set value, the condition is satisfied.

[0095] Step S144: Count the number of judgment conditions that are met in the judgment result.

[0096] In this embodiment, in step S142, the control device has obtained the judgment results of each judgment condition, and now needs to summarize these results. By traversing the results of each judgment condition, the number of judgment conditions that are satisfied is counted. For example, if there are 4 judgment conditions, 2 of which are satisfied, the statistical result is 2. After the control device is completed, the system will obtain a statistical result, that is, the number of judgment conditions that are satisfied.

[0097] Step S146: If the number of times the judgment condition is satisfied is greater than or equal to a preset number threshold, it is determined that a spot check is required.

[0098] In this embodiment, the purpose of this step is to determine whether a spot check is required based on the number of conditions that are met. If the number of conditions that are met reaches a set threshold, it indicates that the device may have a fault or anomaly and a spot check needs to be triggered. The preset number threshold is pre-set and represents the number of conditions that need to trigger a spot check. For example, if the threshold is set to 3, it means that the control device will trigger a spot check only when at least 3 judgment conditions are met.

[0099] Step S148: If the number of times the judgment condition is satisfied is less than the preset number threshold, it is determined that no spot check is required.

[0100] This embodiment matches the operating data of the rail crane with multiple judgment conditions in the preset first rule set, and determines whether a spot inspection is required based on the judgment results of these conditions. Through steps S142 to S148, the control device first performs multiple condition judgments on the operating data, including the engine operating time, cumulative operating time, fuel level, engine temperature, etc., to ensure that each key parameter is monitored and evaluated. Based on the number of judgment conditions that are met, the control device decides whether a spot inspection is required. The beneficial effect of this method is that it improves the accuracy of spot inspection decisions through multi-dimensional data analysis, avoids misjudgments that may be caused by a single data indicator, and at the same time, by setting a threshold mechanism, effectively controls the spot inspection frequency, improves equipment management efficiency, and ensures that the rail crane is maintained in a timely manner at critical moments, thereby improving the safety and operational reliability of the equipment.

[0101] In some implementations, the step of obtaining at least the last historical inspection data when the preliminary judgment is passed includes: Step S162: Determine whether there is historical inspection data and fault repair data within a preset time window.

[0102] In this embodiment, the purpose of this step is to check whether there are historical inspection data and fault repair data related to the equipment within a preset time window (for example, the past six months or one year). If such data exists, the control device will use such data to evaluate the equipment status; if no data exists, the control device will turn to obtain the last historical inspection data.

[0103] A time window (e.g., the past six months) can be pre-set to filter the historical inspection data and fault repair data of the equipment. This time window is selected to ensure the real-time and relevance of the data and avoid using outdated data (e.g., data from three years ago), as these data may no longer have reference value for judging the current equipment status. The control device can check whether there are inspection records and fault repair records of the equipment within the time window by querying the historical database or data storage module.

[0104] Step S164: if there are historical spot inspection data and fault repair data, the historical spot inspection data and fault repair data within the preset time window are obtained.

[0105] Step S166: If there is no historical inspection data and fault repair data, obtain the last historical inspection data.

[0106] This embodiment obtains historical inspection data and fault repair data by setting a preset time window (for example, a half-year time window), thereby ensuring the timeliness and relevance of the inspection decision. The setting of the time window is intended to avoid excessive backtracking of historical data, because historical data that is too old (such as inspection and fault repair data three years ago) may have no reference value for the current equipment status. By focusing only on the most recent semi-annual data, the control device can make more accurate and effective inspection decisions based on the current equipment health status. If there is no historical inspection data or fault repair record within the preset time window, the control device will directly use the last historical inspection data to ensure the continuity of the inspection decision and will not be affected by data loss. In this way, the control device can ensure the real-time nature of the inspection information and avoid misjudgment or missed judgment due to expired or irrelevant data. The beneficial effect of this embodiment is that it can optimize the equipment management process, improve the accuracy and efficiency of inspection decisions, and ensure that the equipment is maintained and inspected in a timely manner, avoiding unnecessary inspections or missed inspections due to interference from outdated data, thereby enhancing the safety and operational reliability of the equipment.

[0107] In some implementations, the step of performing a final judgment based at least on the last historical inspection data, the operation data, and a preset second rule set to determine whether an inspection is required includes: Step S182: Based on the historical inspection data, fault repair data, operation data and the preset second rule set within the preset time window, a final judgment is made to determine whether an inspection is required.

[0108] Specifically, in this implementation, the second rule set may include the following judgment conditions: 1. Whether the trend of changes in historical inspection data indicates the existence of potential failure risks.

[0109] 2. Whether the target fault type exists in the fault repair data and the operation data shows the judgment condition that the target fault type reappears.

[0110] 3. Whether the changing trend of the operating data is abnormal and whether the abnormal trend has never appeared in the historical inspection data.

[0111] The step of making a final judgment based on the historical inspection data, fault repair data, operation data and the preset second rule set within the preset time window to make a final judgment on whether an inspection is needed includes: First, the control device determines the change trend of the historical spot inspection data based on the historical spot inspection data; Then, the control device determines whether there is a target fault type based on the fault repair data, and extracts the target fault type from the fault repair data if there is a target fault type. Next, the control device determines a change trend of the operating data based on the operating data; Next, the control device matches and judges the change trend of the historical inspection data, the target fault type and the change trend of the operation data with the corresponding judgment conditions in the second rule set to obtain a judgment result of each judgment condition; wherein the judgment result is used to indicate whether the judgment condition is established; Finally, the control device finally determines that a spot inspection is required when at least one judgment condition is met.

[0112] This embodiment combines historical inspection data, fault repair data, operating data and a preset second rule set to conduct a comprehensive analysis within a preset time window, thereby accurately determining whether an inspection is required. The beneficial effect of this method is that it can more comprehensively evaluate the health status and potential risks of the equipment by conducting a comprehensive analysis of multiple dimensional data of the equipment. By limiting the time window of retrospection, it is ensured that only recent relevant data is used, so that the judgment is more consistent with the current status of the equipment and avoids the use of outdated irrelevant data. This method effectively improves the accuracy and timeliness of inspection decisions, ensuring that equipment can be inspected in a timely manner when maintenance is required, thereby improving the safety and reliability of the equipment and optimizing the allocation of maintenance resources.

[0113] In some embodiments, the second rule set includes a judgment condition of whether the change trend of the historical inspection data shows the existence of a potential fault risk, a judgment condition of whether there is a target fault type in the fault repair data and the operation data shows that the target fault type has reappeared, or a judgment condition of whether the change trend of the operation data is abnormal and the abnormal trend has never appeared in the historical inspection data; The step of making a final judgment based on the historical inspection data, fault repair data, operation data and the preset second rule set within the preset time window to make a final judgment on whether an inspection is needed includes: Step S1822: Based on the historical spot check data, determine the change trend of the historical spot check data.

[0114] In this embodiment, the control device can extract key parameter data (such as temperature, oil pressure, vibration, etc.) from historical inspection records. These data can reflect the working status and operation of the equipment at different time points. The control device can evaluate the state changes of the equipment by performing trend analysis on historical inspection data. For example, by calculating the change rate and fluctuation pattern of temperature, oil pressure, vibration and other data in multiple inspection cycles, it can be determined whether these data show a certain trend (such as continuous increase or decrease). If a key indicator of the equipment (such as temperature, oil pressure, etc.) gradually deviates from the normal range, it indicates that there may be a potential risk of failure. By comparing the fluctuation pattern of the data, the control device can identify these potential problems.

[0115] In a specific embodiment, the control device can determine the change trend of the historical inspection data by a preset differential analysis algorithm. Specifically, the control device can calculate the difference of the inspection data in each time period (for example, temperature change, oil pressure change). If the difference between multiple consecutive time points shows a continuous positive or negative value (for example, the temperature continues to rise), it indicates that there may be a potential fault risk.

[0116] In a specific embodiment, the control device can determine the change trend of historical inspection data by a preset regression analysis algorithm. Specifically, the control device can use linear regression or polynomial regression to fit the change of historical inspection data (such as temperature, oil pressure, etc.). For example, if the temperature of the equipment continues to rise over time, the control device can use regression analysis to determine the change trend of the temperature over time and calculate the slope of the trend. If the slope is large, it means that the equipment may have a potential fault.

[0117] In a specific embodiment, the control device may determine the change trend of the historical spot inspection data through a preset time series analysis model (eg, an autoregressive model, a moving average model, etc.).

[0118] Step S1824: Based on the fault repair data, determine whether a target fault type exists, and if so, extract the target fault type from the fault repair data.

[0119] In this embodiment, the control device can extract the fault type that has occurred in the equipment before (such as engine failure, battery failure, oil circuit problem, etc.) from the historical fault maintenance data. It can be understood that the target fault type can be any predefined fault type.

[0120] The control device can compare the target fault type with the current operating data (such as temperature, oil pressure, etc.) to determine whether the current operating state of the equipment is associated with a certain target fault type. For example, if the historical data shows that the equipment has experienced a target fault type of "engine overheating" fault, and the current operating data (such as engine temperature) is close to or exceeds the temperature value at the time of the historical fault, the control device can determine that the fault type is at risk of reoccurring.

[0121] Step S1826: Based on the operating data, determine the changing trend of the operating data.

[0122] In this embodiment, before performing trend analysis, the control device may pre-process the collected operation data to ensure the quality and accuracy of the data. For example, for the operation data, the control device may remove abnormal values, noise, and missing data. If there are erroneous or unconventional values ​​in the operation data, the control device may fill them in through interpolation or other methods to ensure that the data can accurately reflect the actual status of the device.

[0123] In this embodiment, the control device can determine the change trend by calculating the change amount of the operating data over time. For example, a preset differential analysis algorithm can be used to determine the change trend of the operating data. Regression analysis or trend line can also be used to determine the change trend of the operating data.

[0124] Step S1828: Match the changing trend of the historical inspection data, the target fault type and the changing trend of the operation data with the corresponding judgment conditions in the second rule set to obtain the judgment result of each judgment condition; wherein the judgment result is used to indicate whether the judgment condition is established.

[0125] In this implementation, the second rule set may include the following judgment conditions: 1. Whether the trend of changes in historical inspection data indicates the existence of potential failure risks.

[0126] Specifically, the purpose of this judgment condition is to identify whether there is a potential failure risk by analyzing the change trend of historical inspection data. For example, if a key indicator of the equipment (such as temperature, oil pressure, etc.) continues to rise or fluctuate, it may be a precursor to a failure.

[0127] 2. Whether the target fault type exists in the fault repair data and the operation data shows the judgment condition that the target fault type reappears.

[0128] Specifically, the purpose of this judgment condition is to analyze whether the equipment has a recurrence of a known fault type. By checking the historical fault repair records and comparing them with the current operating data, it is determined whether the equipment has a previously repaired fault type. When the control device identifies the target fault type (such as "engine overheating"), the control device will focus on the current equipment's operating data, especially the indicators related to the fault (such as engine temperature). For example, if the equipment has been repaired due to engine overheating, and the current operating data shows that the engine temperature is close to or exceeds the temperature at the time of the historical fault (such as the temperature exceeds 100°C), then the fault type may reappear and trigger a spot check. If the equipment has had oil circuit problems in the past and the current oil pressure is lower than the normal level after the repair, then the fault type may recur.

[0129] 3. Whether the changing trend of the operating data is abnormal and whether the abnormal trend has never appeared in the historical inspection data.

[0130] Specifically, the judgment condition aims to identify abnormal trends in the current operation data of the equipment, which may be the manifestation of potential problems of the equipment. Compare with the historical inspection data, if the current abnormal trend has never appeared in the historical inspection data, it means that the equipment may have a new fault or abnormality.

[0131] The control device can compare the trend of current operating data with historical inspection data to see if similar trends have occurred. For example, if the temperature fluctuations in historical data are small, but the temperature in current operating data suddenly fluctuates greatly, there may be a problem with the equipment's cooling system or temperature control system. For example, if the temperature continues to rise, and this trend has not appeared in historical inspection data, the control device will determine that the temperature rise is an abnormal trend, which may be a manifestation of a cooling system failure.

[0132] Step S18210: When at least one judgment condition is met, it is finally determined that inspection is required.

[0133] This embodiment realizes the intelligent and precise equipment inspection decision by comprehensively analyzing historical inspection data, fault repair data and operation data, combined with the judgment conditions in the preset second rule set. First, the control device can effectively identify potential faults or abnormal conditions of the equipment by analyzing the changing trends of historical inspection data, target fault types in fault repair data, and changing trends of current operation data. By matching with the judgment conditions in the rule set, the control device can determine whether there is a risk that the equipment needs inspection. The beneficial effect of this method is that it not only improves the accuracy of inspection decisions, but also avoids misjudgment or missed judgment due to reliance on a single data source, thereby ensuring that the equipment can be inspected and maintained in a timely manner at critical moments, effectively improving the safety and reliability of equipment operation, and optimizing the configuration of inspection resources.

[0134] In some embodiments, the step of executing a preset measure to trigger a spot check includes: Step S1102: Generate notification information; wherein the notification information indicates that the rail crane is about to perform an inspection; wherein the notification information includes the rail crane identity information and the inspection location information.

[0135] In this embodiment, the control device may generate a notification message to inform relevant personnel that the rail crane is about to be inspected. The notification message may include key information, such as the identity of the rail crane and the location information of the inspection.

[0136] The control device can obtain the identity information of the rail crane that currently needs to be inspected by querying the equipment database. The identity information can include a unique identifier such as the number, name, model, etc. of the rail crane.

[0137] The control device can determine the inspection location of the equipment according to the current location of the rail crane and the inspection requirements. This inspection location can be obtained through GPS, rail position system or other positioning technology. For example, the control device can select a safe area, such as a parking station, equipment maintenance platform, etc., as the inspection location. It is understandable that the control device can first determine the current location, and then based on the current location, determine the location information of the equipment maintenance platform closest to the current location as the inspection location information.

[0138] The control device can combine the identification information and inspection position information of the rail crane into a complete notification message. The notification message can include the identification information of the device, the current parking position, the inspection time and other related information. The notification message can be in a structured data format, such as JSON, XML or a simple text format, to ensure compatibility and readability during transmission and display.

[0139] Step S1104: Send notification information to the target terminal.

[0140] In this embodiment, the target terminal may be a staff member's mobile phone, tablet computer, management system, etc.

[0141] like Figure 3 As shown, according to an embodiment of the present invention, a trigger device for inspection of a rail crane is provided, the device comprising: A first acquisition module, which is used to acquire operation data of the rail crane; An initial judgment module is used to input the operation data into a preset first rule set for initial judgment to determine whether a spot inspection is required; The second acquisition module is used to obtain at least the last historical inspection data when the initial judgment is passed; A final judgment module, which is used to make a final judgment based on at least the last historical inspection data, the operation data and a preset second rule set, so as to make a final judgment on whether an inspection is needed; The execution module is used to execute preset measures to trigger the spot inspection when it is finally determined that the spot inspection is needed.

[0142] According to an embodiment of the present invention, an electronic device is provided. Figure 4 The electronic device in this embodiment may include one or more of the following components: a processor, a network interface, a memory, a non-volatile memory, and one or more applications, wherein the one or more applications may be stored in the non-volatile memory and configured to be executed by one or more processors, and the one or more programs are configured to execute the method described in the aforementioned method embodiment.

[0143] According to an embodiment of the present invention, a computer-readable storage medium is provided, on which a computer program is stored. When the computer program is executed by a computer, the computer executes the method described in any of the above embodiments.

[0144] According to an embodiment of the present invention, a computer program product including instructions is further provided. When the instructions are executed by a computer, the computer executes a switch switching strategy execution method in any of the above embodiments.

[0145] According to an embodiment of the present invention, a rail crane is further provided. The rail crane is used to execute the above method or includes the above electronic device.

[0146] It should be noted that the terms "first", "second", etc. in the specification and claims of the present application and the above-mentioned drawings are used to distinguish similar objects, and are not necessarily used to describe a specific order or sequence. It should be understood that the data used in this way can be interchangeable where appropriate, so that the embodiments of the present application described herein can be implemented in an order other than those illustrated or described herein. In addition, the terms "including" and "having" and any of their variations are intended to cover non-exclusive inclusions, for example, a process, method, system, product or device comprising a series of steps or units is not necessarily limited to those steps or units clearly listed, but may include other steps or units that are not clearly listed or inherent to these processes, methods, products or devices.

[0147] Optionally, the specific examples in this embodiment may refer to the examples described in the above embodiments, and this embodiment will not be described in detail here.

[0148] The serial numbers of the above-mentioned embodiments of the present application are for description only and do not represent the advantages or disadvantages of the embodiments.

[0149] In the above embodiments of the present application, the description of each embodiment has its own emphasis. For parts that are not described in detail in a certain embodiment, please refer to the relevant description of other embodiments.

[0150] The above is only a preferred implementation of the present application. It should be pointed out that for ordinary technicians in this technical field, several improvements and modifications can be made without departing from the principles of the present application. These improvements and modifications should also be regarded as the scope of protection of the present application.

Claims

1. A method for triggering inspection of a rail crane, characterized in that: The method comprises: Obtain the operation data of the rail crane; Inputting the operation data into the preset first rule set for preliminary judgment to determine whether inspection is required; If the initial judgment is passed, at least the last historical inspection data is obtained; At least based on the last historical inspection data, the operation data and the preset second rule set, a final judgment is made to make a final judgment on whether an inspection is needed; When it is finally determined that a spot check is necessary, the preset measures are executed to trigger the spot check.

2. The method according to claim 1, characterized in that: The operation data includes current engine operation time data, cumulative engine operation time data, fuel level data or engine temperature data; The step of obtaining the operation data of the rail crane comprises: Based on the start signal, determine the current engine running time data and the accumulated engine running time data; Sending a data acquisition request to a preset sensor device; wherein the sensor device includes a fuel level sensor or an engine temperature sensor; The operating data returned by the sensor device is received.

3. The method according to claim 2, characterized in that The first rule set includes a judgment condition of whether the current engine running time data exceeds a first time preset value, a judgment condition of whether the cumulative engine running time data exceeds a second time preset value, a judgment condition of whether the fuel level data is lower than a level preset value, or a judgment condition of whether the engine temperature data exceeds a temperature preset value; The step of inputting the operation data into a preset first rule set for preliminary determination to determine whether a spot check is required comprises: Matching the operation data with the corresponding judgment conditions in the first rule set to obtain a judgment result for each judgment condition; wherein the judgment result is used to indicate whether the judgment condition is established; Count the number of judgment conditions that are met in the judgment result; If the number of conditions that are met is greater than or equal to the preset number threshold, it is determined that a spot check is required; If the number of conditions that are met is less than the preset number threshold, it is determined that no inspection is required.

4. The method according to claim 1, characterized in that The step of obtaining at least the last historical inspection data when the preliminary judgment is passed includes: Determine whether there is historical inspection data and fault repair data within the preset time window; If there are historical inspection data and fault repair data, obtain the historical inspection data and fault repair data within the preset time window; If there is no historical inspection data or fault repair data, the last historical inspection data is obtained.

5. The method according to claim 4, characterized in that The step of making a final judgment based on at least the last historical inspection data, the operation data and the preset second rule set to make a final judgment on whether an inspection is needed includes: Based on the historical inspection data, fault repair data, operation data and the preset second rule set within the preset time window, a final judgment is made to determine whether an inspection is required.

6. The method according to claim 5, characterized in that The second rule set includes a judgment condition of whether the change trend of the historical inspection data shows the existence of a potential fault risk, a judgment condition of whether there is a target fault type in the fault repair data and the operation data shows the reappearance of the target fault type, or a judgment condition of whether the change trend of the operation data is abnormal and the abnormal trend has never appeared in the historical inspection data; The step of making a final judgment based on the historical inspection data, fault repair data, operation data and the preset second rule set within the preset time window to make a final judgment on whether an inspection is needed includes: Based on historical inspection data, determine the change trend of historical inspection data; Based on the fault repair data, determining whether a target fault type exists, and if the target fault type exists, extracting the target fault type from the fault repair data; Based on the operation data, determine the change trend of the operation data; Matching and judging the change trend of the historical inspection data, the target fault type and the change trend of the operation data with the corresponding judgment conditions in the second rule set to obtain a judgment result of each judgment condition; wherein the judgment result is used to indicate whether the judgment condition is established; When at least one of the determination conditions is met, it is finally determined that inspection is required.

7. The method according to claim 1, characterized in that The step of executing preset measures to trigger spot inspection includes: Generate notification information; wherein the notification information indicates that the rail crane is about to perform a spot inspection; wherein the notification information includes the rail crane identification information and the spot inspection location information; Send notification information to the target terminal.

8. A trigger device for inspection of a rail crane, characterized in that: The device comprises: A first acquisition module, which is used to acquire operation data of the rail crane; An initial judgment module is used to input the operation data into a preset first rule set for initial judgment to determine whether a spot inspection is required; The second acquisition module is used to obtain at least the last historical inspection data when the initial judgment is passed; A final judgment module, which is used to make a final judgment based on at least the last historical inspection data, the operation data and a preset second rule set, so as to make a final judgment on whether an inspection is needed; The execution module is used to execute preset measures to trigger the spot inspection when it is finally determined that the spot inspection is needed.

9. An electronic device, characterized in that: include: a memory, and one or more processors communicatively coupled to the memory; The memory stores instructions that can be executed by the one or more processors. The instructions are executed by the one or more processors to enable the one or more processors to implement the method according to any one of claims 1 to 7.

10. A rail crane, characterized in that: The rail crane is used to perform the method according to any one of claims 1 to 7 or comprises the electronic equipment according to claim 9.

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