Construction equipment maintenance early warning method and system

Abstract

The invention relates to the technical field of digital equipment maintenance early warning, in particular to a construction equipment maintenance early warning method and system.The construction equipment maintenance early warning method mainly comprises the steps that a first evaluation value is obtained through a first evaluation model according to current target equipment fault data and first data; setting an evaluation value threshold value, judging whether the first evaluation value is greater than the evaluation value threshold value or not, and first data and fault data of associated use equipment, comprehensively judging whether the first data and the fault data are greater than the evaluation value threshold value or not, dividing the data into first sending data and second sending data, sending the first sending data and the second sending data, and simultaneously sending alarm signals of different grades according to the first sending data. Through the method, a more accurate early warning signal can be obtained, the current condition can be analyzed, different warning signals can be sent out, and equipment maintenance personnel can arrange different work plans through different warning signals, so that more choices are provided for workers, and the working efficiency is improved.

Description

Technical Field

[0001] The present invention relates to the technical field of digital equipment maintenance early warning, and in particular to a construction equipment maintenance early warning method and system. Background Art

[0002] Construction equipment maintenance is an important part of ensuring the smooth progress of construction projects. With the development of the construction industry, the types and quantities of various types of construction equipment are increasing, and these equipment play an indispensable role in the project. However, long-term and intensive use will cause equipment wear and failure, which will in turn affect the progress of the project and the quality of construction. Therefore, regular maintenance and care are particularly important.

[0003] Equipment maintenance includes daily inspection, regular maintenance and fault repair. By establishing a complete maintenance system, potential problems can be discovered and solved in a timely manner, the service life of the equipment can be extended, and the equipment failure rate can be reduced. At the same time, a reasonable maintenance strategy can improve the working efficiency of the equipment, save maintenance costs, and ensure construction safety.

[0004] In the existing technology, in addition, with the development of intelligent technology, some high-end construction equipment has begun to apply the Internet of Things and big data analysis to monitor the equipment status in real time, so as to achieve more accurate maintenance management. However, at present, it only stays at sending relevant early warning signals when it is detected that the equipment needs maintenance. The early warning signals are relatively simple and fail to provide more accurate early warning signals to equipment maintenance personnel. Equipment maintenance personnel cannot make different responses according to different early warning signals to improve work efficiency. Summary of the invention

[0005] The purpose of the present invention is to provide a construction equipment maintenance early warning method and system to solve the above-mentioned problems in the prior art.

[0006] The present invention is achieved through the following technical solutions: In a first aspect, the present invention provides a construction equipment maintenance early warning method, comprising: Obtain the current basic information of equipment maintenance, and determine whether there is a target equipment that needs maintenance. If not, do not process it. If yes, obtain the first data of the usage of the target equipment. Establishing a first evaluation model, acquiring current fault data of the target device, and obtaining a first evaluation value through the first evaluation model according to the current fault data of the target device and the first data; Setting an evaluation value threshold, and determining whether the first evaluation value is greater than the evaluation value threshold; If the first evaluation value is greater than the evaluation value threshold, the target device information corresponding to the first evaluation value greater than the evaluation value threshold is saved as the first sending data; If the first evaluation value is not greater than the evaluation value threshold, determining whether the target device corresponding to the first evaluation value has an associated use device; If there is an associated device, the first data and fault data of the currently associated device are obtained, and a first evaluation value of the associated device is obtained through the first evaluation model, a second evaluation model is established, and a second evaluation value is obtained through the second evaluation model according to the first evaluation value of the target device and the first evaluation value of the associated device, and it is determined whether the second evaluation value is greater than the evaluation value threshold, and if so, the target device information corresponding to the second evaluation value is saved as the first sent data, and if not, it is saved as the second sent data; If there is no associated device, the target device information corresponding to the first evaluation value that is not greater than the evaluation value threshold is saved as the second sending data; The first transmission data and the second transmission data are transmitted to the remote end, and alarm signals of different levels are simultaneously sent according to the first transmission data.

[0007] Preferably, the obtaining of current equipment maintenance basic information includes: Get the usage time of the current device and compare it with the maintenance period of the current device. If it meets the maintenance period, mark it as the target device. If it does not meet the maintenance period, obtain the information of the next device. Obtain the difference between the usage time and the maintenance period of all target devices, and establish a third evaluation model based on the usage frequency and the difference of the target devices; All the third evaluation values ​​are sorted by the third evaluation model or the third evaluation value, and the sorting result is used as the acquisition order of the first data for acquiring the usage of the target device.

[0008] Preferably, the third evaluation model includes:

[0009] In the formula, is the third evaluation value, is the total usage time of the target device, is the cost of using the target device, Use frequency for the target device, is the usage time in the current maintenance cycle, The maintenance period for a cycle. To use this target device The cost of an operator, This is the total number of people using the target device.

[0010] Preferably, the first evaluation model includes:

[0011] In the formula, is the first evaluation value of the target device, To calculate the coefficient, when the target device has a fault, =1, when the target device does not have a fault, =0, is the target equipment cost value, For the device Fault point value, is the total number of fault points of the equipment, For the device The repair cost of each fault point is The total budget value for current equipment maintenance, is the maintenance cost value of the current equipment, is the maintenance duration of the equipment, The number of devices that can be replaced by the current device.

[0012] Preferably, the setting of the evaluation value threshold includes:

[0013] In the formula, is the evaluation value threshold.

[0014] Preferably, the second evaluation model includes:

[0015] In the formula, The average number of associated devices for each device. The number of devices associated with the current target device. is the first evaluation value of the associated device, is the second evaluation value.

[0016] Preferably, the simultaneously sending warning signals of different levels according to the first sent data includes: Setting different levels of alarm signals, including general alarm, medium alarm and severe alarm; The current alarm signal is outputted according to the first evaluation value of the first sent data and the total first evaluation value of the target device.

[0017] Preferably, the outputting of the current alarm signal comprises:

[0018] In the formula, is the sum of the first evaluation values ​​of the first sent data, The first sent data The first evaluation value, is the total first evaluation value of the target device, For all target devices The first evaluation value, is the total number of target devices that store the first sent data. is the total number of all target devices; when When a serious warning signal is sent, if A medium warning signal is sent.

[0019] In a second aspect, the present invention further provides a construction equipment maintenance early warning system, comprising: The model building module is configured to obtain the current equipment maintenance basic information, determine whether there is a target equipment that needs maintenance, if not, do not process it, if yes, obtain the first data of the target equipment usage; establish a first evaluation model, obtain the current fault data of the target equipment, and obtain the first evaluation value through the first evaluation model according to the current target equipment fault data and the first data; set the evaluation value threshold, and determine whether the first evaluation value is greater than the evaluation value threshold; The judgment module is configured to save the target device information corresponding to the first evaluation value greater than the evaluation value threshold as the first transmission data if the first evaluation value is greater than the evaluation value threshold; if the first evaluation value is not greater than the evaluation value threshold, determine whether the target device corresponding to the first evaluation value has an associated use device; if there is an associated use device, obtain the first data and fault data of the currently associated use device, and obtain the first evaluation value of the associated use device through the first evaluation model, establish a second evaluation model, obtain the second evaluation value through the second evaluation model according to the first evaluation value of the target device and the first evaluation value of the associated use device, determine whether the second evaluation value is greater than the evaluation value threshold, if so, save the target device information corresponding to the second evaluation value as the first transmission data, if not, save it as the second transmission data; The sending module is configured to save the target device information corresponding to the first evaluation value that is not greater than the evaluation value threshold as the second sending data if there is no associated use device; transmit the first sending data and the second sending data to the remote end, and simultaneously send alarm signals of different levels according to the first sending data; The main control module is configured to be connected with the model building module, the judgment module and the sending module, and is used to execute the above-mentioned construction equipment maintenance early warning method.

[0020] The technical solution of the embodiment of the present invention has at least the following advantages and beneficial effects: The above method provided by the present invention mainly includes obtaining a first evaluation value through a first evaluation model based on the current target device fault data and the first data; setting an evaluation value threshold, judging whether the first evaluation value is greater than the evaluation value threshold, and associating the first data and the fault data of the device to make a comprehensive judgment on whether it is greater than the evaluation value threshold, and dividing it into first sending data and second sending data for sending, and sending different levels of alarm signals at the same time according to the first sending data. Through the above method, a more accurate early warning alarm signal can be obtained, and different alarm signals can be sent according to the current analysis situation. Equipment maintenance personnel can arrange different work plans through different alarm signals, giving staff more choices to improve work efficiency. BRIEF DESCRIPTION OF THE DRAWINGS

[0021] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings required for use in the embodiments are briefly introduced below. It should be understood that the following drawings only show certain embodiments of the present invention and therefore should not be regarded as limiting the scope. For ordinary technicians in this field, other related drawings can be obtained based on these drawings without creative work.

[0022] Figure 1 It is a schematic diagram of the process of the present invention. DETAILED DESCRIPTION

[0023] In order to make the purpose, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are part of the embodiments of the present invention, not all of the embodiments. Generally, the components of the embodiments of the present invention described and shown in the drawings here can be arranged and designed in various different configurations.

[0024] The terms "first, second" and the like in the specification and claims of this application and the above drawings are used to distinguish similar objects, and are not necessarily used to describe a specific order or sequence. The naming or numbering of steps in this application does not mean that the steps in the method flow must be executed in the time / logical sequence indicated by the naming or numbering. The named or numbered process steps can be changed in the execution order according to the technical purpose to be achieved, as long as the same or similar technical effects can be achieved.

[0025] The division of modules in this application is a logical division. There may be other division methods when implemented in actual applications. For example, multiple modules can be combined or integrated into another system, or some features can be ignored or not executed.

[0026] Please refer to Figure 1The present invention provides a construction equipment maintenance early warning method, comprising: S101: Obtaining basic information on current equipment maintenance, determining whether there is a target equipment that needs maintenance, and if not, not processing; if yes, obtaining first data on the use of the target equipment; Among them, the basic maintenance information of the equipment includes the schedule, maintenance items and contents of regular maintenance , the date of each maintenance, maintenance personnel, maintenance content (inspection, replacement of parts, etc.), maintenance results and suggestions, fault and problem records, fault frequency and causes and other routine maintenance basic information and data.

[0027] Specifically, the usage time of the current device is obtained and compared with the maintenance period of the current device. If it meets the maintenance period, it is marked as the target device. If it does not meet the maintenance period, the information of the next device is obtained.

[0028] The first data of the target device usage includes basic information data of the target device, for example, data including usage frequency, usage cost, maintenance cost, maintenance frequency, maintenance cycle, etc. of the target device.

[0029] S102: Establish a first evaluation model, obtain current fault data of the target device, and obtain a first evaluation value through the first evaluation model according to the current fault data of the target device and the first data; In this embodiment, fault data is taken into consideration. If the equipment is in a certain fault state, it will definitely affect subsequent maintenance. The fault data includes fault frequency, fault point, maintenance cost, maintenance time and other data. These data are used to limit or correct the first evaluation model, so that the final result is more accurate.

[0030] S103: Setting an evaluation value threshold, and determining whether the first evaluation value is greater than the evaluation value threshold; S104: if the first evaluation value is greater than the evaluation value threshold, saving the target device information corresponding to the first evaluation value greater than the evaluation value threshold as the first sending data; S105: If the first evaluation value is not greater than the evaluation value threshold, determining whether the target device corresponding to the first evaluation value has an associated use device; S106: If there is an associated device, the first data and fault data of the currently associated device are obtained, and a first evaluation value of the associated device is obtained through the first evaluation model, a second evaluation model is established, and a second evaluation value is obtained through the second evaluation model according to the first evaluation value of the target device and the first evaluation value of the associated device, and it is determined whether the second evaluation value is greater than the evaluation value threshold. If so, the target device information corresponding to the second evaluation value is saved as the first sent data, and if not, it is saved as the second sent data; S107: If there is no associated device, the target device information corresponding to the first evaluation value that is not greater than the evaluation value threshold is saved as the second transmission data: In this embodiment, the associated devices bundled with the target device are also taken into consideration. The relevant data of the associated devices will affect the subsequent maintenance plan, so the situation of the associated devices is added to this solution to further output more accurate evaluation values ​​and provide more detailed reference basis for equipment maintenance personnel.

[0031] S108: Transmit the first transmission data and the second transmission data to the remote end, and simultaneously send alarm signals of different levels according to the first transmission data.

[0032] In this solution, target devices whose values ​​are greater than the evaluation value threshold are classified into the first transmission data, and target devices whose values ​​are not greater than the evaluation value threshold are classified into the second transmission data. In this way, the alarm level can be divided and set based on the first transmission data and the second transmission data, rather than simply sending a single alarm signal. Equipment maintenance personnel cannot make different response plans. For example, if a more urgent alarm signal is issued, more equipment maintenance personnel can be prepared in advance to handle it. If an ordinary alarm signal is issued, normal maintenance can be carried out according to the current arrangement. In short, equipment maintenance personnel can make different response plans and have more choices.

[0033] The above method provided by the present invention mainly includes obtaining a first evaluation value through a first evaluation model based on the current target device fault data and the first data; setting an evaluation value threshold, judging whether the first evaluation value is greater than the evaluation value threshold, and associating the first data and the fault data of the device to make a comprehensive judgment on whether it is greater than the evaluation value threshold, and dividing it into first sending data and second sending data for sending, and sending different levels of alarm signals at the same time according to the first sending data. Through the above method, a more accurate early warning alarm signal can be obtained, and different alarm signals can be sent according to the current analysis situation. Equipment maintenance personnel can arrange different work plans through different alarm signals, giving staff more choices to improve work efficiency.

[0034] In an exemplary embodiment of the present invention, obtaining the current equipment maintenance basic information includes: S201: Obtain the usage time of the current device and compare it with the maintenance period of the current device. If it meets the maintenance period, mark it as a target device. If it does not meet the maintenance period, obtain information of the next device; S202: Obtain the difference between the usage time and the maintenance period of all target devices, and establish a third evaluation model according to the usage frequency and the difference of the target devices; S203: sorting all the third evaluation values ​​by the third evaluation model or the third evaluation value, and taking the sorting result as the acquisition order of the first data for acquiring the usage of the target device.

[0035] Specifically, the third evaluation model includes:

[0036] In the formula, is the third evaluation value, is the total usage time of the target device, is the cost of using the target device, Use frequency for the target device, is the usage time in the current maintenance cycle, The maintenance period for a cycle. To use this target device The cost of an operator, This is the total number of people using the target device.

[0037] In this embodiment, since different equipment has different maintenance conditions, some equipment that needs to be maintained first needs to be prioritized to enter the next judgment procedure in order to obtain the final result faster and perform the next maintenance work.

[0038] The third evaluation model provided in this embodiment comprehensively considers the basic information data of the target device and integrates these data to obtain more accurate results. By sorting the third evaluation values ​​obtained by the third evaluation model from large to small, the judgment time of the subsequent target device is obtained. In this embodiment, the larger the third evaluation value, the higher the priority of the device.

[0039] In an exemplary embodiment of the present invention, the first evaluation model includes:

[0040] In the formula, is the first evaluation value of the target device, To calculate the coefficient, when the target device has a fault, =1, when the target device does not have a fault, =0, is the target equipment cost value, For the device Fault point value, is the total number of fault points of the equipment, For the device The repair cost of each fault point is The total budget value for current equipment maintenance, is the maintenance cost value of the current equipment, is the maintenance duration of the equipment, The number of devices that can be replaced by the current device.

[0041] In this embodiment, an integrated calculation is performed in combination with the basic data information of the target device, wherein the usage time within the current maintenance cycle is compared with the maintenance period of a cycle, taking into account two situations: exceeding the maintenance period and not exceeding the maintenance period. In this field, the situation of exceeding the maintenance period is a situation that requires emergency maintenance, so a differentiated calculation is performed to make the result more accurate. Secondly, the usage time within the current maintenance cycle is specifically the length of time from the current device to the last maintenance, and the maintenance period of a cycle can be understood as the maintenance cycle of the current device.

[0042] Specifically, the setting of the evaluation value threshold includes:

[0043] In the formula, is the evaluation value threshold.

[0044] The present invention provides a practical example to further explain the above content: For example, if the usage time of the current device in the current maintenance cycle is 120 days, the maintenance period of a cycle is within 140 days, and the maintenance period is 30 days before the deadline, the current device is marked as a target device.

[0045] Get the data of the target device, the device cost is 200,000 yuan, , no failures occurred, and the total budget for equipment maintenance was 100,000 yuan. , the current equipment maintenance cost is 10,000 yuan, , the maintenance time is 1 day, , the current device can be replaced by 0, set the number of users to 2, and the frequency of use to 2 times a day, then you can get, , , the data information of the current target device is divided into the first sending data.

[0046] In an exemplary embodiment of the present invention, the second evaluation model includes:

[0047] In the formula, The average number of associated devices for each device. The number of devices associated with the current target device. is the first evaluation value of the associated device, is the second evaluation value.

[0048] The larger the first evaluation value and the second evaluation value are, the more serious the current situation of the target device is and the more urgent the maintenance is. Therefore, the first transmission data and the second transmission data are divided according to the evaluation value threshold.

[0049] It should be noted that the above algorithms do not need to consider the calculation of units. When performing evaluation calculations, the values ​​under the same unit can be used. The calculated results do not need to consider their practical significance. They are only used as a size comparison or a comparison between the thresholds set by this solution to obtain a more objective result.

[0050] In an exemplary embodiment of the present invention, the simultaneously sending of warning signals of different levels according to the first sent data includes: Setting different levels of alarm signals, including general alarm, medium alarm and severe alarm; Among them, the urgency of general alarms, medium alarms and severe alarms increases in sequence.

[0051] The current alarm signal is outputted according to the first evaluation value of the first sent data and the total first evaluation value of the target device.

[0052] Specifically, the outputting of the current alarm signal includes:

[0053] In the formula, is the sum of the first evaluation values ​​of the first sent data, The first sent data The first evaluation value, is the total first evaluation value of the target device, For all target devices The first evaluation value, is the total number of target devices that store the first sent data. is the total number of all target devices; when When a serious warning signal is sent, if A medium warning signal is sent.

[0054] The present invention also provides a construction equipment maintenance early warning system, comprising: The model building module is configured to obtain the current equipment maintenance basic information, determine whether there is a target equipment that needs maintenance, if not, do not process it, if yes, obtain the first data of the target equipment usage; establish a first evaluation model, obtain the current fault data of the target equipment, and obtain the first evaluation value through the first evaluation model according to the current target equipment fault data and the first data; set the evaluation value threshold, and determine whether the first evaluation value is greater than the evaluation value threshold; The judgment module is configured to save the target device information corresponding to the first evaluation value greater than the evaluation value threshold as the first transmission data if the first evaluation value is greater than the evaluation value threshold; if the first evaluation value is not greater than the evaluation value threshold, determine whether the target device corresponding to the first evaluation value has an associated use device; if there is an associated use device, obtain the first data and fault data of the currently associated use device, and obtain the first evaluation value of the associated use device through the first evaluation model, establish a second evaluation model, obtain the second evaluation value through the second evaluation model according to the first evaluation value of the target device and the first evaluation value of the associated use device, determine whether the second evaluation value is greater than the evaluation value threshold, if so, save the target device information corresponding to the second evaluation value as the first transmission data, if not, save it as the second transmission data; The sending module is configured to save the target device information corresponding to the first evaluation value that is not greater than the evaluation value threshold as the second sending data if there is no associated use device; transmit the first sending data and the second sending data to the remote end, and simultaneously send alarm signals of different levels according to the first sending data; The main control module is configured to be connected with the model building module, the judgment module and the sending module, and is used to execute the above-mentioned construction equipment maintenance early warning method.

[0055] In addition, each functional unit in each embodiment of the present invention may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit. The above-mentioned integrated unit may be implemented in the form of hardware or in the form of software functional units.

[0056] If the integrated unit is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. The computer software product is stored in a storage medium, including a number of instructions for a computer device (which can be a personal computer, a server, or a network device, etc.) to perform all or part of the steps of the methods of various embodiments of the present invention. The aforementioned storage medium includes: U disk, mobile hard disk, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), disk or optical disk and other media that can store program codes.

[0057] The above are only preferred embodiments of the present invention and are not intended to limit the present invention. For those skilled in the art, the present invention may have various modifications and variations. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention shall be included in the protection scope of the present invention.

Claims

1. A construction equipment maintenance early warning method, characterized in that: include: Obtain the current basic information of equipment maintenance, and determine whether there is a target equipment that needs maintenance. If not, do not process it. If yes, obtain the first data of the usage of the target equipment. Establishing a first evaluation model, acquiring current fault data of the target device, and obtaining a first evaluation value through the first evaluation model according to the current fault data of the target device and the first data; Setting an evaluation value threshold, and determining whether the first evaluation value is greater than the evaluation value threshold; If the first evaluation value is greater than the evaluation value threshold, the target device information corresponding to the first evaluation value greater than the evaluation value threshold is saved as the first sending data; If the first evaluation value is not greater than the evaluation value threshold, determining whether the target device corresponding to the first evaluation value has an associated use device; If there is an associated device, the first data and fault data of the currently associated device are obtained, and a first evaluation value of the associated device is obtained through the first evaluation model, a second evaluation model is established, and a second evaluation value is obtained through the second evaluation model according to the first evaluation value of the target device and the first evaluation value of the associated device, and it is determined whether the second evaluation value is greater than the evaluation value threshold, and if so, the target device information corresponding to the second evaluation value is saved as the first sent data, and if not, it is saved as the second sent data; If there is no associated device, the target device information corresponding to the first evaluation value that is not greater than the evaluation value threshold is saved as the second sending data; The first transmission data and the second transmission data are transmitted to the remote end, and alarm signals of different levels are simultaneously sent according to the first transmission data.

2. A construction equipment maintenance early warning method according to claim 1, characterized in that: The acquisition of the current equipment maintenance basic information includes: Get the usage time of the current device and compare it with the maintenance period of the current device. If it meets the maintenance period, mark it as the target device. If it does not meet the maintenance period, obtain the information of the next device. Obtain the difference between the usage time and the maintenance period of all target devices, and establish a third evaluation model based on the usage frequency and the difference of the target devices; All the third evaluation values ​​are sorted by the third evaluation model or the third evaluation value, and the sorting result is used as the acquisition order of the first data for acquiring the usage of the target device.

3. A construction equipment maintenance early warning method according to claim 2, characterized in that: The third evaluation model includes: In the formula, is the third evaluation value, is the total usage time of the target device, is the cost of using the target device, Use frequency for the target device, is the usage time in the current maintenance cycle, The maintenance period for a cycle. To use this target device The cost of an operator, This is the total number of people using the target device.

4. A construction equipment maintenance early warning method according to claim 3, characterized in that: The first evaluation model includes: In the formula, is the first evaluation value of the target device, To calculate the coefficient, when the target device has a fault, =1, when the target device does not have any fault, =0, is the target equipment cost value, For the device Fault point value, is the total number of fault points of the equipment, For the device The repair cost of each fault point is The total budget value for current equipment maintenance, is the maintenance cost value of the current equipment, is the maintenance duration of the equipment, The number of devices that can be replaced by the current device.

5. A construction equipment maintenance early warning method according to claim 4, characterized in that: The setting of the evaluation value threshold comprises: In the formula, is the evaluation value threshold.

6. A construction equipment maintenance early warning method according to claim 5, characterized in that: The second evaluation model includes: In the formula, The average number of associated devices for each device. The number of devices associated with the current target device. is the first evaluation value of the associated device, is the second evaluation value.

7. A construction equipment maintenance early warning method according to claim 6, characterized in that: The step of simultaneously sending different levels of warning signals according to the first sent data includes: Setting different levels of alarm signals, including general alarm, medium alarm and severe alarm; The current alarm signal is outputted according to the first evaluation value of the first sent data and the total first evaluation value of the target device.

8. A construction equipment maintenance early warning method according to claim 7, characterized in that: The output of the current alarm signal comprises: In the formula, is the sum of the first evaluation values ​​of the first sent data, The first sent data The first evaluation value, is the total first evaluation value of the target device, For all target devices The first evaluation value, is the total number of target devices that store the first sent data. is the total number of all target devices; when When a serious warning signal is sent, if A medium warning signal is sent.

9. A construction equipment maintenance early warning system, characterized in that: include: The model building module is configured to obtain the current basic information of equipment maintenance, determine whether there is a target equipment that needs maintenance, and if not, do not process it; if so, obtain the first data of the use of the target equipment; Establishing a first evaluation model, acquiring current fault data of the target device, and obtaining a first evaluation value through the first evaluation model according to the current fault data of the target device and the first data; Setting an evaluation value threshold, and determining whether the first evaluation value is greater than the evaluation value threshold; The judgment module is configured to save the target device information corresponding to the first evaluation value greater than the evaluation value threshold as the first sending data if the first evaluation value is greater than the evaluation value threshold; if the first evaluation value is not greater than the evaluation value threshold, judge whether the target device corresponding to the first evaluation value has an associated use device; If there is an associated device, the first data and fault data of the currently associated device are obtained, and a first evaluation value of the associated device is obtained through the first evaluation model, a second evaluation model is established, and a second evaluation value is obtained through the second evaluation model according to the first evaluation value of the target device and the first evaluation value of the associated device, and it is determined whether the second evaluation value is greater than the evaluation value threshold, and if so, the target device information corresponding to the second evaluation value is saved as the first sent data, and if not, it is saved as the second sent data; The sending module is configured to save the target device information corresponding to the first evaluation value that is not greater than the evaluation value threshold as the second sending data if there is no associated use device; transmit the first sending data and the second sending data to the remote end, and simultaneously send alarm signals of different levels according to the first sending data; The main control module is configured to be connected with the model building module, the judgment module and the sending module, and is used to execute a construction equipment maintenance early warning method as described in any one of claims 1-8.

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