An intelligent allocation decision method and system for maintenance tasks based on capabilities

Abstract

The present invention belongs to the technical field of equipment maintenance support, and in particular relates to an intelligent allocation decision method and system for maintenance tasks based on capabilities. The present invention includes a single support point equipment maintenance support task identification module, a maintenance support resource detection module, a maintenance resource configuration module, military radio frequency tags, a low-power wide area wireless network, an electronic tag reader / writer, sensors, a Beidou positioning module, an edge computing box, a military information network, a wireless transmission module, a wired communication link, and a power supply module for each device and module. Through the operation of this system, state perception can be achieved for the positioning, distribution and gathering places, motion states, service life cycles, etc. of the support objects, and state perception can be achieved for the integrity rate, etc. of the support objects, and an intelligent allocation decision method for maintenance tasks based on capabilities point-to-point can be realized to achieve macro monitoring and management.

Description

Technical Field

[0001] The present invention relates to the technical field of equipment maintenance support, and in particular to an intelligent allocation decision method and system for maintenance tasks based on capabilities. Background Technique

[0002] At present, the Internet of Things is booming. For the military application of the Internet of Things, the most prioritized and core issue is how to integrate it into the joint operation and its support system while meeting military needs, so as to effectively improve the combat ability and support efficiency. Demand traction is the driving force for the development of various new technologies. With the potential application of the Internet of Things in the military field, especially strongly driven by the requirements of joint operations in the informationized battlefield, the construction of the Internet of Things has become increasingly urgent. The core of the military Internet of Things lies in making the system operate effectively in all aspects, all time domains, and all frequency spectrums around factors such as battlefield situation awareness, intelligent analysis and judgment, and action process control, so as to comprehensively improve the system combat ability based on information systems. The maintenance support for the military Internet of Things is to achieve precise battlefield perception from sensors to maintenance support resources, that is, to establish a comprehensive Internet of Things covering all elements and the whole process of battlefield dynamic perception, data collection and transmission, optimization decision-making, support resource allocation, and scheduling.

[0003] With the development of equipment intelligence, it is possible to build an equipment perception and control network system to dynamically perceive and conduct real-time statistical analysis on the full life cycle status of equipment aggregation locations, tasks, damages, maintenance, and scrapping. The single support point equipment maintenance support system for the military Internet of Things is to establish an intelligent perception dynamic control system for support requirements, spare parts planning and maintenance, and support distribution from "equipment to support point" to optimize the comprehensive utilization of maintenance support forces in a timely, local, and appropriate amount.

[0004] For the military Internet of Things, the existing equipment maintenance support methods and systems have the following problems:

[0005] 1. The existing single support point equipment maintenance support methods mainly rely on manual reporting of the demand for maintenance resources for maintenance tasks. The reporting is not timely, inaccurate, has many levels, and is greatly affected by human factors, seriously restricting the manifestation of the system maintenance efficiency. For the military Internet of Things, with the gradual realization of the Internet of Things information channel, it is necessary to optimize the maintenance resources with the overall combat ability and support efficiency as the goal.

[0006] 2. For the military Internet of Things, especially in the field operation environment, the existing equipment maintenance support systems cannot achieve end-to-end network connection of people, processes, data, and the Internet of Things (IoT). The link has an open loop, and the perception of edge data at the implementation layer required for equipment maintenance support has not been realized. Equipment maintenance support cannot achieve the interconnection of all things in all aspects required for the construction of the military Internet of Things.

[0007] 3. The data collection and approval of existing equipment maintenance support are completed manually, without the ability of automatic collection, resulting in poor timeliness and accuracy. Especially when the equipment maintenance support system responds to the requirements of maintenance tasks, it cannot accurately locate physical faults in the first time through self-awareness and obtain the information required for support.

[0008] 4. On the existing maintenance support objects, a "Equipment Support SID (Situation Identification)" identification system of multi-sensors or integrated sensors has not been constructed with support requirements and support capabilities as the standards and traction, so as to realize the status perception of the location, distribution and gathering place, movement state, service life cycle, etc. of the support objects, realize the status perception of the integrity rate, maintenance situation, etc. of the support objects, and realize the intelligent allocation decision-making system of maintenance tasks based on capabilities, so as to realize macro monitoring and management. Summary of the Invention

[0009] The technical problem to be solved by the present invention is: based on the need of intelligent allocation decision-making of maintenance tasks based on capabilities, how to realize the method of perceiving the maintenance support capabilities of a single support point and responding to maintenance support tasks with support requirements or support capabilities as the standards and optimization goals, and establish a "Equipment Support SID (Situation Identification)" identification system of multi-sensors or integrated sensors corresponding to each maintenance support task, so as to realize the unique calibration of maintenance objects that meet the requirements of the military Internet of Things in a special application environment in a moving state, and realize the calibration of the geographical location of maintenance support objects and the interaction of maintenance resource demand information to meet the needs of the field environment.

[0010] To solve the above technical problems, the technical solution adopted by the present invention provides an intelligent allocation decision-making method for maintenance tasks based on capabilities, including the following steps:

[0011] Step S1, establish a topological wiring diagram, which is a normal display of the end-to-end physical link status diagram, and is used for the centralized visualization display of the end-to-end physical link status of the equipment maintenance support system of a single support point in the military Internet of Things. According to the needs of maintenance support tasks and the supply of maintenance resources, establish the corresponding relationship between physical maintenance resources and maintenance task information, determine the working status of the maintenance resource end according to the data information table, and distinguish it with different colors to realize the centralized visualization display of the end-to-end physical link status;

[0012] Step S2, establish a maintenance spare parts information table, including RFID information fields, usage status information segments of maintenance spare parts, types of maintenance spare parts fields, and warehousing information fields of maintenance spare parts;

[0013] Step S3, establish a basic information table for maintenance personnel, including an RFID information field, a maintenance personnel work status information section, a maintenance personnel professional category number information section, and a technical level type information section of the subordinates of the maintenance personnel;

[0014] Step S4, establish a basic information table for maintenance equipment, including an RFID information field, a maintenance equipment usage status information section, and a maintenance equipment type information section;

[0015] Step S5, determination of resources required for maintenance tasks. The sensor transmits the abnormal information of the equipment sensed to the edge computing box, and the edge computing box completes the determination of the resources required for the maintenance tasks. Establish a maintenance task requirement information table, including an RFID information field, a maintenance spare part type field, a maintenance spare part quantity field, a maintenance personnel professional category number information section, a technical level type information section of the subordinates of the maintenance personnel, a maintenance personnel quantity field, a maintenance equipment type information section, and a maintenance equipment quantity information section;

[0016] Step S6, establish an objective equation. According to the query of maintenance task requirements, the collection of fault information and status information, and the working modes of manual, periodic, timed, and event-based, establish a maintenance task objective equation based on the criteria of support requirements or support capabilities;

[0017] Step S6.1, establish an objective equation for minimizing the types and quantities of resources when the support degree (operational readiness rate) meets a given threshold:

[0018] min C st P≥p limit (1)

[0019] where C is the total cost, P is the total support degree, and p 1] limit is the support degree threshold;

[0020] Step S6.2, establish an objective equation for maximizing the support degree (operational readiness rate) when the support resources are limited:

[0021] max P st C≤c limit (2)

[0022] where c limit is the cost threshold;

[0023] Step S7, establish a constraint satisfaction equation. Determine the constraint satisfaction conditions according to the needs of the support intention and establish relevant constraint satisfaction equations;

[0024] Step S8, sort in descending order according to the size of P j Suppose the sorting result is P = [P1, P2, …, P j as the descending sequence of the support degree. Let j = 1 and l = 0;

[0025] Step S9, let l = l + 1, and perform constraint satisfaction propagation search on a mn (l) according to the importance constraint satisfaction equation. Perform constraint satisfaction propagation search according to the constraint satisfaction equation. If the result of the solution of each equation satisfies &&a mn = 1, it means that this support point satisfies the equation constraint condition. Deduct the actual consumption of a mn (l), and update the total amount, then go to Step S10. If the result of the solution of each equation satisfies &&a mn = 0, it means that this support point does not satisfy the equation constraint condition. Let j = j + 1 until j = J, and recalculate Step S9;

[0026] Step S10, output A mn as the single support point equipment maintenance support plan.

[0027] Further, the constraint satisfaction equation in Step S7 is the importance constraint satisfaction equation for a single basic - level support point:

[0028]

[0029] where, is the probability that l parts of the nth type of the mth - class equipment at the basic level are damaged, represents the total number of parts of the nth type of the mth - class equipment, represents the failure rate of the nth type of parts of the mth - class equipment at the basic level.

[0030] Further, the constraint satisfaction equation in Step S7 is the importance constraint satisfaction equation for a single relay - level support point:

[0031]

[0032] where, is the probability that l parts of the nth type of the mth - class equipment at the relay level are damaged, represents the total number of parts of the nth type of the mth - class equipment, represents the failure rate of the nth type of parts of the mth - class equipment at the relay level.

[0033] Further, the constraint satisfaction equation in Step S7 is the constraint satisfaction equation for the repair time of a single basic - level support point:

[0034]

[0035] where, t base is the total repair delay time at the basic level (including the basic - level part - replacement time and the basic - level queuing time), t mn is the average on - site part - replacement repair time of the nth type of parts of the mth - class equipment, Average replacement and maintenance queuing time for the nth type of spare parts for type m equipment at the grassroots level, The number of spare parts of type n for type m equipment configured at the base level, k base is the kth grassroots support point, The probability that the number of components of the type n of equipment of the type m at the k-th base level is damaged is l, i mn Indicates the importance of n types of parts for the mth type of equipment.

[0036] Furthermore, the constraint satisfaction equation of step S7 is the constraint satisfaction equation of the maintenance time of a single relay-level support point:

[0037]

[0038] Among them, t mid Total maintenance delay time at the support level (including transportation time between the base level and the support level, maintenance time for parts replacement at the support level, queuing time at the support level, and management delay time at the support level), The average transportation time of the nth type of spare parts for the mth type of equipment from the relay level to the grassroots level, The number of spare parts of type n configured at the relay level for type m equipment, k mid is the kth relay-level support point, The probability that l parts of the nth type of equipment of the kth relay level are damaged, i mn Indicates the importance of n types of parts for the mth type of equipment.

[0039] Furthermore, the constraint satisfaction equation of step S7 is a constraint satisfaction equation of assurance degree:

[0040]

[0041] Among them, it is used to calculate the security level (security level = 1-total time that parts cannot work / total number of parts*total task duration).

[0042] Furthermore, the constraint satisfaction equation of step S7 is the constraint satisfaction equation of the cost of repair and restoration of grassroots support points:

[0043]

[0044] in, is the average storage fee per unit, c mn The unit purchase fee.

[0045] Furthermore, the constraint satisfaction equation of step S7 is the constraint satisfaction equation of the cost of repairing and maintaining the relay-level support point:

[0046]

[0047] in, is the warehousing cost, c mn is the procurement cost is the transportation cost is the management and planning cost

[0048] Furthermore, the constraint satisfaction equation in step S7 is a combination of multiple constraint equations among constraint equations (3) to (9), and the importance, repair time, and repair cost are calculated respectively

[0049] A system for the above-mentioned intelligent allocation decision method of maintenance tasks based on capabilities, including a single support point equipment maintenance support task identification module (1), a maintenance support resource detection module (2), a maintenance resource configuration module (3), a military radio frequency tag (4), a low-power wide-area wireless network (5), an electronic tag reader / writer (6), a sensor (7), a Beidou positioning module (8), an edge computing box (9), a military information network (10), a wireless transmission module, a wired communication link, and a power supply module (11) for each device and module. The maintenance resource configuration module (3) includes a server (12) and a display terminal module (13). The single support point equipment maintenance support task identification module (1) and the maintenance support resource detection module (2) are connected to the maintenance resource configuration module (3) through the wireless transmission module and / or the wired communication link. The maintenance support resource detection module (2) is connected to the electronic tag reader / writer (6) through the wireless transmission module and / or the wired communication link. The low-power wide-area wireless network (5) is connected to the military information network (10) and the electronic tag reader / writer (6) respectively. The sensor (7) and the Beidou positioning module (8) are connected to the edge computing box (9) through the wireless transmission module

[0050] Furthermore, the low-power wide-area wireless network (5) is an NB-IoT and / or LoRa network

[0051] Furthermore, the sensor (7) is one or several of a pressure sensor, a temperature sensor, a flow sensor, a gas concentration sensor, a speed sensor, a position sensor, and a light brightness sensor

[0052] Furthermore, the server (12) includes a GIS server, a maintenance support ledger data server, a military radio frequency tag management server, and a maintenance resource configuration management server

[0053] Furthermore, the maintenance support ledger data server includes a maintenance support spare parts data module, a maintenance support personnel data module, and a maintenance support record data module

[0054] Furthermore, the military radio frequency tag management server includes a maintenance support spare part ID data module, a maintenance support personnel ID data module, a maintenance support transportation equipment ID data module, and a maintenance support object ID data module.

[0055] Furthermore, the maintenance resource allocation management server includes an information push / notification SDK module, a collected data receiving service module, a data storage service module, a user registration service module, a maintenance support spare part basic information data module, a maintenance support personnel basic information data module, a user permission hierarchical management service module, a maintenance support transportation equipment data module, a maintenance support object basic information data module, and an event-triggered workflow maintenance support service module.

[0056] Compared with the prior art, the present invention has the following remarkable advantages:

[0057] 1. The present invention realizes a method for perceiving the maintenance support capabilities of a single support point and responding to maintenance support tasks according to the support requirements or support capabilities as the criteria and optimization objectives for the military Internet of Things.

[0058] 2. The present invention realizes a single support point equipment maintenance support system from equipment to support point, which can complete the end-to-end network connection of people, processes, data, and objects in the field combat environment.

[0059] 3. The present invention constructs a "Equipment Maintenance Support SID (Situation Identification)" identification system of multi-sensors or integrated sensors with support requirements and support capabilities as the criteria and traction, and can realize status perception according to the maintenance support capabilities of a single support point equipment.

[0060] 4. The present invention uniquely calibrates the maintenance support spare parts, maintenance support personnel, maintenance support transportation equipment, and maintenance support objects of the maintenance support system through military radio frequency tags, and calibrates the geographical location of the maintenance object in combination with the GIS system and the Beidou system, so as to realize accurate and rapid positioning and visualization of fault discovery and maintenance support. BRIEF DESCRIPTION OF THE DRAWINGS

[0061] Figure 1 Flowchart of the intelligent allocation decision method for maintenance tasks based on capabilities

[0062] Figure 2 Connection diagram of the intelligent allocation decision system for maintenance tasks based on capabilities

[0063] Figure 3 Connection diagram of each module of the maintenance support object

[0064] Figure 4 Flowchart of the intelligent allocation decision method for maintenance tasks based on capabilities Detailed implementation manners

[0065] The technical solutions in the embodiments of the present invention will be described in detail below with reference to the accompanying drawings. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all the embodiments. Many specific details are set forth in the following description in order to fully understand the present invention. However, the present invention can also be implemented in other ways different from those described herein. Those skilled in the art can make similar extensions without departing from the connotation of the present invention. Therefore, the present invention is not limited by the specific embodiments disclosed below.

[0066] According to an embodiment of the present invention, in combination with Figure 1 An intelligent allocation decision method for maintenance tasks based on capabilities of the present invention includes the following steps:

[0067] Step S1: Establish a topological wiring diagram, which is a diagram for normally displaying the end-to-end physical link status, and is used for centralized visualization display of the end-to-end physical link status of the military Internet of Things single support point equipment maintenance support system. According to the needs of the maintenance support task and the supply of maintenance resources, establish the correspondence between the physical objects of the maintenance resources and the maintenance task information. When the status is normal, the color of the link is displayed as green, and when the status is abnormal, the color of the link is displayed as red;

[0068] Step S2: Establish a maintenance spare part information table, including: a 64-bit RFID information field, a 1-bit usage status information segment of the maintenance spare part, a 4-bit maintenance spare part type field, and a 4-bit storage information field of the maintenance spare part;

[0069] Step S3: Establish a basic information table of maintenance personnel, including: a 64-bit RFID information field, a 1-bit working status information segment of the maintenance personnel, a 4-bit professional category number information segment of the maintenance personnel, and a 4-bit technical level type information segment of the subordinates of the maintenance personnel;

[0070] Step S4: Establish a basic information table of maintenance equipment, including: a 64-bit RFID information field, a 1-bit usage status information segment of the maintenance equipment, and a 4-bit maintenance equipment type field;

[0071] Step S5: The sensor transmits the sensed equipment abnormal information to the edge computing box, and the edge computing box determines the resources required for the maintenance task, and establishes a maintenance task requirement information table, including 64-bit RFID information, a 4-bit maintenance spare part type field, a 4-bit maintenance spare part quantity field, a 4-bit professional category number information segment of the maintenance personnel, a 4-bit technical level type information segment of the subordinates of the maintenance personnel, a 4-bit maintenance personnel quantity field, a 4-bit maintenance equipment type field, and a 4-bit maintenance equipment quantity information segment;

[0072] Step S6. Query according to the maintenance task requirements, collect the fault information and status information, and establish a maintenance task target equation based on the working modes of manual, periodic, timing, and event, with the guarantee requirements as the standard.

[0073] Step S6.1. Establish a target equation with the least types and quantities of resources when the supportability (operational readiness rate) meets a given threshold:

[0074] min C st P≥p limit (10)

[0075] where C is the total cost, P is the total supportability, and p limit The supportability threshold is 0.8;

[0076] Step S7. Establish a constraint satisfaction equation. According to the determination of the support intention, the condition that needs to be satisfied by the constraint is the constraint satisfaction equation for the maintenance time of a single basic-level support point:

[0077]

[0078] where t base = 1.5h;

[0079] Step S8. Arrange in descending order according to the magnitude of P j Suppose the arrangement result is P = [P1, P2, …, P j = [0.9, 0.7, 0.6, 0.3, 0.3], and the corresponding maintenance times of single basic-level support points are respectively Let j = 1 and l = 0;

[0080] Step S9. Let l = l + 1, and perform constraint satisfaction propagation search on a mn (l) according to the importance constraint satisfaction equation, and perform constraint satisfaction propagation search according to the constraint satisfaction equation. P = P1 + P3 + P5 = 1.8 > 0.8, the result is satisfied && a mn = 1, the support point deducts the actual consumption of a mn (l), and updates the total amount, then go to Step S10;

[0081] Step S10. Output A mn = [1, 0, 1, 0, 1] as the single support point equipment maintenance support plan.

[0082] According to an embodiment of the present invention, in combination with Figure 2 、 3An intelligent allocation decision system for maintenance tasks based on capabilities of the present invention includes: a single support point equipment maintenance support task identification module (1), a maintenance support resource detection module (2), a maintenance resource configuration module (3), military radio frequency tags (4), a low-power wide area wireless network (5), an electronic tag reader / writer (6), sensors (7), a Beidou positioning module (8), an edge computing box (9), a military information network (10), a wireless transmission module, a wired communication link, and a power supply module (11) for each device and module. The maintenance resource configuration module (3) includes a server (12) and a display terminal module (13). The single support point equipment maintenance support task identification module (1) and the maintenance support resource detection module (2) are connected to the maintenance resource configuration module (3) through the wireless transmission module and / or the wired communication link. The maintenance support resource detection module (2) is connected to the electronic tag reader / writer (6) through the wireless transmission module and / or the wired communication link. The low-power wide area wireless network (5) is connected to both the military information network (10) and the electronic tag reader / writer (6). The sensors (7) and the Beidou positioning module (8) are connected to the edge computing box (9) through the wireless transmission module.

[0083] Among them, the maintenance support resource detection module (2) detects the radio frequency tags (4) of the maintenance support spare parts in the warehouse and the radio frequency tags (4) of the standby maintenance support personnel through the electronic tag reader / writer (6), and transmits the information to the maintenance resource configuration module (3). The single support point equipment maintenance support task identification module (1) identifies the types and quantities of the maintenance support spare parts and maintenance support personnel required for the maintenance task according to the maintenance tasks that the single support point can respond to, generates a maintenance support code, and transmits it to the maintenance resource configuration module (3). The maintenance support object is equipped with military radio frequency tags (4), sensors (7), an electronic tag reader / writer (6), a Beidou positioning module (8), and an edge computing box (9). The sensors (7) and the Beidou positioning module (8) are connected to the edge computing box (9) through the wireless transmission module. The sensors (7) transmit the detected signals to the edge computing box (9), and the edge computing box (9) determines whether the judgment threshold of the fault is reached, determines the types and quantities of the maintenance support spare parts and maintenance support personnel required, and generates a maintenance support code. The encoding method of this code is the same as that of the maintenance support code generated by the single support point equipment maintenance support task identification module (1). The edge computing box (9) reads the position information of the Beidou positioning module (8), and writes the position information and the support code into the military radio frequency tag (4) through the electronic tag reader / writer (6). The low-power wide area wireless network (5) is connected to the electronic tag reader / writer (6) to collect the military radio frequency tag (4) information of the passing maintenance support object, and then transmits it to the maintenance resource configuration module (3) through the military information network (10). When the maintenance support codes are the same, the single support point equipment maintenance support responds to the maintenance support task, otherwise it does not respond.

[0084] According to an embodiment of the present invention, in combination with Figure 4 An intelligent allocation decision-making system for maintenance tasks based on capabilities of the present invention, the server (12) includes a GIS server, a maintenance support ledger data server, a military radio frequency tag management server, and a maintenance resource configuration management server.

[0085] The above embodiments are provided only for the purpose of describing the present invention, rather than limiting the scope of the present invention. All equivalent substitutions and modifications made without departing from the spirit and principle of the present invention shall be covered within the scope of the present invention.

Claims

1. An intelligent allocation decision method for maintenance tasks based on capabilities, characterized in that, Including the following steps: Step S1, establish a topological wiring diagram, which is a diagram for normally displaying the end-to-end physical link status and is used for the centralized visualization display of the end-to-end physical link status of the military Internet of Things single support point equipment maintenance support system. According to the needs of the maintenance support task and the supply of maintenance resources, establish the corresponding relationship between the physical maintenance resources and the maintenance task information, determine the working status of the maintenance resource end according to the data information table, and distinguish it with different colors to achieve the centralized visualization display of the end-to-end physical link status; Step S2, establish a maintenance spare parts information table, including RFID information fields, usage status information segments of maintenance spare parts, types of maintenance spare parts fields, and warehousing information fields of maintenance spare parts; Step S3, establish a basic information table for maintenance personnel, including RFID information fields, working status information segments of maintenance personnel, types of professional categories of maintenance personnel information segments, and types of technical levels under the maintenance personnel information segments; Step S4, establish a basic information table for maintenance equipment, including RFID information fields, usage status information segments of maintenance equipment, and types of maintenance equipment information segments; Step S5, determine the resources required for the maintenance task. The sensor transmits the abnormal equipment information sensed to the edge computing box, and the edge computing box completes the determination of the resources required for the maintenance task. Establish a maintenance task requirement information table, including RFID information fields, types of maintenance spare parts fields, quantities of maintenance spare parts fields, types of professional categories of maintenance personnel information segments, types of technical levels under the maintenance personnel information segments, quantities of maintenance personnel fields, types of maintenance equipment information segments, and quantities of maintenance equipment information segments; Step S6, establish an objective equation. According to the query of the maintenance task requirements, the collection of fault information and status information, and the working modes of manual, periodic, timed, and event-based, establish a maintenance task objective equation based on the support requirements or support capabilities as the standard; Step S6.1, establish an objective equation with the least types and quantities of resources when the supportability or operational readiness rate meets a given threshold: Minimize \(C\) subject to \(P\geq p\) limit (1) Step S6.2, establish an objective equation with the maximum supportability or operational readiness rate under the condition of limited support resources: max P such that C ≤ c limit (2) Step S7, establish a constraint satisfaction equation. Determine the conditions for constraint satisfaction according to the needs of the support intention and establish relevant constraint satisfaction equations; Step S8, arrange in decreasing order of the magnitude of P j , and assume the arrangement result is P = [P1, P2, …, P j as the descending sequence of the guarantee degree. Let j = 1 and l = 0; Step S9, let l = l + 1, and perform constraint satisfaction propagation search on a mn (l) according to the importance constraint satisfaction equation. Perform constraint satisfaction propagation search according to the constraint satisfaction equation. If the result of the solution of each equation and &&a mn = 1, it means that the support point satisfies the equation constraint condition, subtract the actual consumption of a mn (l), and update the total amount, then go to step S10. If the result of the solution of each equation and &&a mn = 0, it means that the support point does not satisfy the equation constraint condition, j = j + 1, until j = J, and recalculate step S9; Step S10, output A mn It is a single support point equipment maintenance support plan.

2. The intelligent allocation decision method for maintenance tasks based on capabilities according to claim 1, characterized in that The constraint satisfaction equation in step S7 is the importance constraint satisfaction equation for a single basic-level support point:

3. The intelligent allocation decision method for maintenance tasks based on capabilities according to claim 1, wherein, The constraint satisfaction equation in step S7 is the importance constraint satisfaction equation for a single relay-level support point:

4. The intelligent allocation decision method for maintenance tasks based on capabilities according to claim 1, wherein, The constraint satisfaction equation in step S7 is the constraint satisfaction equation for the maintenance time of a single basic-level support point:

5. The intelligent allocation decision method for maintenance tasks based on capabilities according to claim 1, characterized in that, The constraint satisfaction equation in step S7 is the constraint satisfaction equation for the maintenance time of a single relay-level support point:

6. The intelligent allocation decision method for maintenance tasks based on capabilities according to claim 1, characterized in that The constraint satisfaction equation in step S7 is the constraint satisfaction equation for supportability:

7. The intelligent allocation decision method for maintenance tasks based on capabilities according to claim 1, wherein, The constraint satisfaction equation in step S7 is the constraint satisfaction equation for the cost of maintenance and repair of a basic-level support point:

8. The intelligent allocation decision method for maintenance tasks based on capabilities according to claim 1, characterized in that The constraint satisfaction equation in step S7 is the constraint satisfaction equation for the cost of maintenance and repair of a relay-level support point:

9. The intelligent allocation decision method for maintenance tasks based on capabilities according to claim 1, characterized in that The constraint satisfaction equation in step S7 is a combination of 2 to 7 of the constraint satisfaction equations (3) to (9).

10. A system using the method for intelligent allocation decision of maintenance tasks based on capabilities according to any one of claims 1-9, characterized in that, Including: single support point equipment maintenance support task identification module, maintenance support resource detection module, maintenance resource allocation module, military radio frequency tag, low-power wide area wireless network, electronic tag reader / writer, sensor, Beidou positioning module, edge computing box, military information network, wireless transmission module, wired communication link, and power supply modules for each device and module. The maintenance resource allocation module includes a server and a display terminal module. The single support point equipment maintenance support task identification module and the maintenance support resource detection module are connected to the maintenance resource allocation module through the wireless transmission module and / or the wired communication link. The maintenance support resource detection module is connected to the electronic tag reader / writer through the wireless transmission module and / or the wired communication link. The low-power wide area wireless network is connected to both the military information network and the electronic tag reader / writer. The sensor and the Beidou positioning module are connected to the edge computing box through the wireless transmission module.

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