Factory equipment management system and method based on communication network

Abstract

The invention discloses a plant area equipment management system and method based on a communication network, relates to the technical field of communication equipment management, and solves the problem that in the prior art, in plant area communication network equipment management, the priority of network signal sending is not determined according to an actual application scene; network signals in important areas may be delayed; the method comprises the following steps: acquiring delay data of all network equipment in each area in a factory; pre-checking all equipment in each area in the factory; carrying out diversity processing on the fault type of the corresponding network equipment; judging whether the network equipment in the corresponding area has a fault due to network delay or not; judging whether the size of the area of the region affects the time delay of the communication network or not; performing partition scoring according to the importance degree of the region, and obtaining a network signal sending sequence according to the area fault score and the partition score; according to the invention, the problem of service interruption or response delay caused by network problems is reduced, and the production efficiency of enterprises is improved.

Description

Technical Field

[0001] The present invention belongs to the field of communication networks, and relates to communication equipment management technology, in particular to a plant equipment management system and method based on a communication network. Background Art

[0002] For communication network factories, the stability and response speed of the network system are very important. Through network connection, the information of all equipment can be centrally managed, the equipment status can be monitored in real time, and the workload of manual inspections can be reduced. Building a factory equipment management system based on the communication network can collect equipment operation data in real time, which is conducive to timely detection of abnormal situations. It optimizes the allocation of maintenance resources to ensure that key equipment is maintained in a timely manner and avoids waste caused by excessive maintenance. By optimizing equipment management and maintenance, the continuity of production activities and product quality can be ensured, and customer satisfaction can be improved.

[0003] In the existing technology of communication network equipment management in the factory, the actual application scenarios are not comprehensively considered to determine the priority of network signal transmission; this may cause delays in network signals in important areas, thereby preventing network equipment from operating in the optimal state, affecting the overall production efficiency of the factory.

[0004] The present invention provides a plant equipment management system and method based on a communication network to solve the above technical problems. Summary of the invention

[0005] The present invention aims to solve at least one of the technical problems existing in the prior art; to this end, the present invention proposes a plant equipment management system and method based on a communication network, which is used to solve the technical problem that the prior art fails to comprehensively consider the actual application scenarios in the management of communication network equipment in the plant to determine the priority of network signal sending; this may cause network signal delays in important areas, thereby preventing network equipment from operating in the optimal state, affecting the overall production efficiency of the plant.

[0006] To achieve the above-mentioned object, the first aspect of the present invention provides a plant equipment management system based on a communication network, comprising: a data acquisition module, a monitoring and statistics module, a partition adjustment module and a user interface module;

[0007] Data collection module: Use a third-party speed test website to regularly obtain the delay data of all network devices in each area of ​​the factory; the delay data includes: propagation delay, transmission delay, processing delay, and queuing delay;

[0008] Monitoring and statistics module: pre-check all equipment in each area of ​​the factory; divide the fault types of the corresponding network equipment into groups through pre-check; determine whether the network equipment in the corresponding area fails due to network delay; if yes, count the number of faults in each cycle; if no, continue to judge; the pre-check includes: software check and hardware check;

[0009] Partition adjustment module: determines whether the size of the area affects the delay of the communication network; if yes, scores the area fault of each area; if no, continues to judge;

[0010] The partition scores are performed according to the importance of the regions, and the order of network signal transmission is obtained according to the area fault score and the partition score.

[0011] Preferably, the system further includes: a user interface module: used to display delay data and match different colors according to fault signals for display; wherein the fault signals include: fault signal one, fault signal two, and fault signal three.

[0012] The present invention helps workers to quickly identify normal operation and fault status through intuitive color changes, and quickly locate the problem, thereby accelerating the fault response speed and processing efficiency.

[0013] Preferably, the pre-inspection of all equipment in each area of ​​the plant includes:

[0014] Determine whether all network hardware devices are in normal connection status;

[0015] If yes, then determine whether the indicator light of the corresponding network hardware device is normal; if yes, then complete the hardware check of the corresponding network device; if no, then send out a fault signal to perform indicator light inspection;

[0016] If not, a fault signal 2 is issued to perform network hardware maintenance;

[0017] Use the command line tool to determine whether the software configuration of the network device is correct; if yes, complete the software check of the corresponding network device; if no, send a fault signal and perform software configuration maintenance.

[0018] The present invention checks the physical connection, then checks the hardware status, and finally checks the software configuration, which is conducive to quickly locating the root cause of the problem and avoiding blind troubleshooting and wasting time; after the problem is found, a corresponding fault signal is immediately issued and the specific type of maintenance required is indicated, which is conducive to guiding technicians to directly repair the problem point and improve the efficiency of maintenance work.

[0019] Preferably, the method of performing diversity processing on the fault types of the corresponding network devices through pre-checking includes:

[0020] All the equipment in the factory are numbered and marked as set A; the network devices with faults obtained through pre-inspection are numbered and marked as set B; set A and set B are intersected to obtain set E; the complement of set E is taken as set C.

[0021] The present invention obtains set E by performing intersection processing on set A and set B. Set E provides a clear list of faulty devices, so that the maintenance team can perform targeted repairs and avoid blindly searching for the source of the fault. By taking the complement of set E as set C, it is beneficial to perform further network delay fault analysis on the network devices that have passed the pre-inspection.

[0022] Preferably, the determining whether the network equipment in the corresponding area fails due to network delay includes:

[0023] Retrieve the network devices corresponding to set C and determine whether the network devices corresponding to set C have a delay failure: if yes, the corresponding regional devices fail due to network delay, and the corresponding devices are marked as set D; if no, the corresponding regional devices do not fail due to network delay; delay failure conditions include: network interruption, slow connection, high packet loss rate, server no response, server response time exceeds the set response time threshold, and data synchronization inconsistency.

[0024] It should be noted that the response time threshold is set by the staff based on actual work conditions.

[0025] By checking the network devices in set C, the present invention can promptly discover whether there is a network interruption, slow connection, high packet loss rate, server no response, server response time exceeding the set response time threshold or data synchronization inconsistency delay failure; once a fault is found, it can be quickly located and marked as set D, thereby facilitating subsequent problem troubleshooting and repair work.

[0026] Preferably, the determining whether the size of the area affects the delay of the communication network includes:

[0027] Retrieve the network devices corresponding to the set D, count the size of each area and mark it as Si, and the number of times the network devices corresponding to the set D fail in each area due to network delay and mark it as Bi; where i represents the number; i = 1, 2, 3, ..., N, and N is a positive integer;

[0028] Taking Si as the independent variable and Bi as the dependent variable, a fitting function is performed through least square estimation; determining whether the slope of the fitting function is always greater than 0; if yes, the size of the regional area has an impact on the delay of the communication network; if no, the size of the regional area has no impact on the delay of the communication network.

[0029] The present invention can quantify the relationship between the area size and the number of network failures through the least squares estimation fitting function, which helps to clarify the influence of the area on the strength of the communication network; if the slope of the fitting function is always greater than 0, it indicates that the larger the area, the more network failures there are, which can provide a scientific basis for the equipment layout and network planning of the factory, help optimize the equipment distribution, and reduce network failures; according to the fitting results, network resources can be reasonably allocated to improve the stability of the overall network of the factory.

[0030] Preferably, the area fault scoring of each region includes:

[0031] Retrieve Bi to obtain the number of faults that occur within a set period; mark the number as c, and use α as the scoring coefficient, where α∈[1,10]; calculate the area fault score using the formula FZ=c×α.

[0032] It should be noted that the specific cycle is set by the staff based on actual work experience.

[0033] The present invention can quantify the impact of the failure on production or operation by multiplying the number of failures by the scoring coefficient; by quantifying the failure scores, it is easier to identify areas or equipment with high failure rates, so as to take preventive maintenance measures.

[0034] Preferably, the partition scoring according to the importance of the region includes:

[0035] The regional classification of the factory area is obtained from the database, and the production management area and the automation equipment control area are marked as Class A areas; the safety monitoring area and the design and development area are marked as Class B areas; the customer service and sales area, and the quality re-inspection area are marked as Class C areas; the three-level areas A, B, and C are scored respectively and marked as Fj; where j = 1, 2, 3; the score of the Class A area ∈ [80, 100]; the score of the Class B area ∈ [60, 80); the score of the Class C area ∈ [40, 60).

[0036] It should be noted that the importance level is: Level A area > Level B area > Level C area; the specific scores of the three levels A, B and C are set by the staff based on actual work experience.

[0037] The present invention divides the regions into three levels, which helps to clarify the importance and priority of each region and ensure that resources and attention can be allocated to the most critical regions first; according to the importance of the region, the management can allocate human, material and financial resources more specifically and improve the efficiency of network resource utilization.

[0038] Preferably, the obtaining of the order of sending network signals according to the area fault score and the partition score includes:

[0039] Retrieve area fault scores and partition scores,

[0040] The order score is calculated by the formula SX=FZ×θ+F×ɡ; according to the order score, the network signal corresponding to the network device with the higher order score is sent preferentially; wherein θ and ɡ are both proportional coefficients; θ∈[0,1], ɡ∈[0,1].

[0041] It should be noted that network signals corresponding to network devices with the same sequence scores are sent simultaneously.

[0042] The present invention can quickly respond to failures of key equipment and reduce the impact of failures on production by giving priority to sending network signals corresponding to network devices with high sequence scores; by giving priority to processing high-risk devices, it can reduce production interruptions caused by network delays and improve overall production efficiency.

[0043] To achieve the above object, a second aspect of the present invention provides a method for plant equipment management based on a communication network, comprising:

[0044] S100: Use a third-party speed test website to regularly obtain latency data for all network devices in each area of ​​the factory;

[0045] S200: Pre-check all devices in each area of ​​the factory; divide the fault types of corresponding network devices into groups through the pre-check;

[0046] S300: Determine whether the network equipment in the corresponding area fails due to network delay; if yes, count the number of failures in each cycle; if no, continue to determine;

[0047] S400: Determine whether the size of the area affects the delay of the communication network; if yes, perform area fault scoring on each area; if no, continue to determine;

[0048] S500: Performing partition scoring according to the importance of the regions, and obtaining the order of network signal transmission according to the area fault score and the partition score.

[0049] Compared with the prior art, the present invention has the following beneficial effects:

[0050] 1. Use a third-party speed test website to regularly obtain the delay data of network equipment in each area of ​​the factory, including propagation delay, transmission delay, processing delay and queuing delay, which can ensure the accuracy and objectivity of the data while also providing a reliable data basis for subsequent monitoring statistics and partition adjustments; the monitoring and statistics module conducts comprehensive fault monitoring of network equipment through pre-inspection, which helps to timely discover possible delay faults in network equipment and perform diversity processing on them, thereby avoiding further expansion of the fault or affecting other equipment; for faulty network equipment, the monitoring and statistics module will count the number of faults in each cycle, so as to take targeted adjustment measures.

[0051] 2. The partition adjustment module scores the area faults of each area according to the relationship between the size of the area and the strength of the network signal. At the same time, the partition scores are scored based on the importance of the area, and the order of network signal transmission is finally determined, which helps to optimize the allocation of network resources and improve the coverage and stability of network signals, especially in large-scale factories. Through automated data collection, monitoring statistics and partition adjustment, manual intervention and operation and maintenance costs can be greatly reduced. At the same time, the real-time and accuracy of the system also help to improve operation and maintenance efficiency and ensure the stable operation of network equipment. BRIEF DESCRIPTION OF THE DRAWINGS

[0052] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0053] Figure 1 A schematic diagram of the relationship between the modules included in the present invention;

[0054] Figure 2 A schematic diagram of the specific steps of monitoring and statistics of the present invention;

[0055] Figure 3 A schematic diagram of specific steps of partition adjustment of the present invention;

[0056] Figure 4 It is a schematic diagram of the process of equipment management of the present invention. DETAILED DESCRIPTION

[0057] The technical solution of the present invention will be clearly and completely described below in conjunction with the embodiments. Obviously, the described embodiments are only part of the embodiments of the present invention, rather than all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0058] See also Figure 1 , the first aspect of the present invention provides a plant equipment management system based on a communication network, including: a data acquisition module, a monitoring and statistics module, a partition adjustment module and a user interface module;

[0059] Data collection module: Use a third-party speed test website to regularly obtain the delay data of all network devices in each area of ​​the factory; the delay data includes: propagation delay, transmission delay, processing delay, and queuing delay;

[0060] Monitoring and statistics module: pre-check all equipment in each area of ​​the factory; divide the fault types of the corresponding network equipment into groups through pre-check; determine whether the network equipment in the corresponding area fails due to network delay; if yes, count the number of faults in each cycle; if no, continue to judge; the pre-check includes: software check and hardware check;

[0061] Partition adjustment module: determines whether the size of the area affects the delay of the communication network; if yes, scores the area fault of each area; if no, continues to judge;

[0062] The partitions are scored according to the importance of the regions, and the order of network signal transmission is obtained according to the area fault score and the partition score;

[0063] See also Figure 2 , the specific steps of monitoring and statistics, to determine whether all network hardware devices are in a normal connection state;

[0064] If yes, then determine whether the indicator light of the corresponding network hardware device is normal; if yes, then complete the hardware check of the corresponding network device; if no, then send out a fault signal to perform indicator light inspection;

[0065] If not, a fault signal 2 is issued to perform network hardware maintenance;

[0066] Use the command line tool to determine whether the software configuration of the network device is correct; if yes, complete the software check of the corresponding network device; if no, send a fault signal and perform software configuration maintenance;

[0067] All equipment in the factory are numbered and marked as set A; network equipment that has faults obtained through pre-check are numbered and marked as set B; set A and set B are intersected to obtain set E; the complement of set E is taken as set C; determine whether the network equipment corresponding to set C has a delay failure: if yes, the corresponding area equipment fails due to network delay, and the corresponding equipment is marked as set D; if no, the corresponding area equipment does not fail due to network delay; delay failure conditions include: network interruption, slow connection, high packet loss rate, server no response, server response time exceeds the set response time threshold, and data synchronization inconsistency.

[0068] For example, there are two clothing factories with different floor areas, A and B, which need to manage network equipment. Use the speedtest.net website to regularly obtain the delay data of all network equipment in each area of ​​the factory. The delay data includes: propagation delay, transmission delay, processing delay, and queuing delay. The unit is milliseconds.

[0069] Now we will conduct a preliminary inspection on all the equipment in the two plant areas a and b;

[0070] All network hardware devices in the a plant are in a normal connection state; if two network hardware devices in the b plant are in an abnormal connection state, a fault signal 2 is issued;

[0071] If five network hardware device indicators in the a plant area cannot be used normally, a fault signal 1 is issued; if all network hardware device indicators in the b plant area can be used normally;

[0072] The software configuration of the network devices in both factories was correct through the command line tool;

[0073] Number all the equipment in the two plant areas respectively and mark them as sets A1 and A2; number the network equipment with faults obtained through pre-check and mark them as sets B1 and B2; intersect sets A1 and B1 to get set E1, and intersect sets A2 and B2 to get set E2; take the complement of set E1 as set C1, and take the complement of set E2 as set C2;

[0074] In set C1, three corresponding network devices x1, x2, and x3 have delay failures. The corresponding devices of x1, x2, and x3 are marked as set D1;

[0075] In set C2, two network devices corresponding to q1 and q2 have delay failures, and the devices corresponding to q1 and q2 are marked as set D2.

[0076] See also Figure 3, the specific steps of partition adjustment are to call the network devices corresponding to the set D, count the area size of each area and mark it as Si, and the number of failures caused by network delay in each area of ​​the network devices corresponding to the set D and mark it as Bi; where i represents the number; i = 1, 2, 3, ..., N, and N is a positive integer;

[0077] Taking Si as the independent variable and Bi as the dependent variable, a fitting function is performed by least square estimation; judging whether the slope of the fitting function is always greater than 0; if yes, the size of the area has an impact on the delay of the communication network; if no, the size of the area has no impact on the delay of the communication network;

[0078] Retrieve Bi to obtain the number of faults that occur within a set period; mark the number as c, and use α as the scoring coefficient, where α∈[1,10]; calculate the area fault score using the formula FZ=c×α;

[0079] Obtain the regional classification of the factory area from the database, mark the production management area and the automation equipment control area as Class A areas; mark the safety monitoring area and the design and development area as Class B areas; mark the customer service and sales area and the quality re-inspection area as Class C areas; assign points to the three levels of A, B, and C areas respectively and mark them as Fj; where j = 1, 2, 3; the score of the A-level area ∈ [80, 100]; the score of the B-level area ∈ [60, 80); the score of the C-level area ∈ [40, 60);

[0080] The order score is calculated by the formula SX=FZ×θ+F×ɡ; according to the order score, the network signal corresponding to the network device with the higher order score is sent preferentially; wherein θ and ɡ are both proportional coefficients; θ∈[0,1], ɡ∈[0,1].

[0081] For example, obtain the regional classification of factory area A from the database, mark the production management area and the automation equipment control area as the first-level area and assign a score of 90 points; mark the safety monitoring area and the design and development area as the second-level area and assign a score of 70 points; mark the customer service and sales area and the quality re-inspection area as the third-level area and assign a score of 50 points;

[0082] Retrieve set D1, where the network device corresponding to x1 is in the production management area, and the network is interrupted three times within a week; the network device corresponding to x2 is in the security monitoring area, and the slow connection occurs twice within a week; the network device corresponding to x3 is in the sales area, and the server is unresponsive once within a week; the area size relationship of the three network devices corresponding to x1, x2, and x3 is x1>x2>x3; take the area as the independent variable and the number of failures in each area as the dependent variable, and fit the function through least squares estimation; it is found that the slope of the fitting function is greater than 0, then the area size of the A plant area affects the delay of the communication network;

[0083] The scoring coefficient is set to 10, and the area fault score of the production management area is calculated by the formula FZ = c × α to be 30 points, the area fault score of the safety monitoring area is 20 points, and the area fault score of the sales area is 10 points;

[0084] The order score of each area is calculated by the formula SX=FZ×θ+F×ɡ; among them, the order score of the production management area is 120 points, the order score of the safety monitoring area is 90 points, and the order score of the sales area is 60 points; since 120>90>60, the order of sending network signals is: production management area>safety monitoring area>sales area.

[0085] Retrieve set D2, where the network equipment corresponding to q1 is in the automation equipment control area, and the network was interrupted six times in one week; the network equipment corresponding to q2 is in the quality re-inspection area, and the data synchronization was inconsistent twice in one week; the area size relationship between the two network equipments q1 and q2 is q1<q2; take the area as the independent variable and the number of failures in each area as the dependent variable, and fit the function through the least squares estimation; the slope of the fitting function is less than 0, then the delay of the communication network in the b plant is not affected by the size of the area;

[0086] Since the delay of the communication network of plant B is not affected by the size of the area, the regional classification of plant B is obtained from the database, and the production management area and the automation equipment control area are marked as the first-level area and scored 95 points; the security monitoring area and the design and development area are marked as the second-level area and scored 70 points; the customer service and sales area and the quality re-inspection area are marked as the third-level area and scored 58 points;

[0087] Since 95>70, the order of sending network signals is: automation equipment control area>quality re-inspection area.

[0088] See also Figure 4 The second aspect of the present invention provides a method for managing plant equipment based on a communication network, comprising:

[0089] S100: Use a third-party speed test website to regularly obtain latency data for all network devices in each area of ​​the factory;

[0090] S200: Pre-check all devices in each area of ​​the factory; divide the fault types of corresponding network devices into groups through the pre-check;

[0091] S300: Determine whether the network equipment in the corresponding area fails due to network delay; if yes, count the number of failures in each cycle; if no, continue to determine;

[0092] S400: Determine whether the size of the area affects the delay of the communication network; if yes, perform area fault scoring on each area; if no, continue to determine;

[0093] S500: Performing partition scoring according to the importance of the regions, and obtaining the order of network signal transmission according to the area fault score and the partition score.

[0094] As another preferred embodiment, different from the above embodiment, in order to be able to understand the current working status more intuitively, a factory equipment management system based on a communication network also includes a user interface module: used to display delay data and display fault signals to staff in different colors; wherein, the fault signals include: fault signal one, fault signal two, fault signal three, specifically, when the fault signal is fault signal one, the displayed color is red, when the fault signal is fault signal two, the displayed color is yellow, and when the fault signal is fault signal three, the displayed color is green.

[0095] Part of the data in the above formula is calculated by removing the dimension and taking its numerical value. The formula is a formula closest to the actual situation obtained by software simulation of a large amount of collected data; the preset parameters and preset thresholds in the formula are set by technical personnel in this field according to actual conditions or obtained through simulation of a large amount of data.

[0096] The working principle of the present invention is as follows: the present invention uses a third-party speed test website to regularly obtain the delay data of all network devices in each area of ​​the factory; pre-checks all devices in each area of ​​the factory; performs diversity processing on the fault types of the corresponding network devices through pre-checks; determines whether the network devices in the corresponding area fail due to network delay; if yes, counts the number of failures in each cycle; if no, continues to determine; determines whether the size of the area affects the delay of the communication network; if yes, performs area fault scoring for each area; if no, continues to determine; performs partition scoring according to the importance of the area, and obtains the order of network signal sending according to the area fault scoring and the partition scoring.

[0097] The above embodiments are only used to illustrate the technical method of the present invention rather than to limit it. Although the present invention has been described in detail with reference to the preferred embodiments, those skilled in the art should understand that the technical method of the present invention may be modified or replaced by equivalents without departing from the spirit and scope of the technical method of the present invention.

Claims

1. A plant equipment management system based on a communication network, characterized in that: include: Data collection module, monitoring and statistics module, partition adjustment module and user interface module; Data collection module: Use a third-party speed test website to regularly obtain the delay data of all network devices in each area of ​​the factory; the delay data includes: propagation delay, transmission delay, processing delay, and queuing delay; Monitoring and statistics module: pre-check all equipment in each area of ​​the factory; divide the fault types of the corresponding network equipment into groups through pre-check; determine whether the network equipment in the corresponding area fails due to network delay; if yes, count the number of faults in each cycle; if no, continue to judge; the pre-check includes: software check and hardware check; Partition adjustment module: determines whether the size of the area affects the delay of the communication network; if yes, scores the area fault of each area; if no, continues to judge; The partition scores are performed according to the importance of the regions, and the order of network signal transmission is obtained according to the area fault score and the partition score.

2. A plant equipment management system based on a communication network according to claim 1, characterized in that: Also includes: User interface module: used to display delay data and match different colors according to fault signals for display; wherein the fault signals include: fault signal one, fault signal two, and fault signal three.

3. A plant equipment management system based on a communication network according to claim 1, characterized in that: The preliminary inspection of all equipment in each area of ​​the factory includes: Determine whether all network hardware devices are in normal connection status; If yes, then determine whether the indicator light of the corresponding network hardware device is normal; if yes, then complete the hardware check of the corresponding network device; if no, then send out a fault signal to perform indicator light inspection; If not, a fault signal 2 is issued to perform network hardware maintenance; Use the command line tool to determine whether the software configuration of the network device is correct; if yes, complete the software check of the corresponding network device; if no, send a fault signal and perform software configuration maintenance.

4. A plant equipment management system based on a communication network according to claim 1, characterized in that: The method of performing diversity processing on the fault types of the corresponding network devices through pre-checking includes: All the equipment in the factory are numbered and marked as set A; the network devices with faults obtained through pre-inspection are numbered and marked as set B; set A and set B are intersected to obtain set E; the complement of set E is taken as set C.

5. The plant equipment management system based on a communication network according to claim 1, characterized in that: The determining whether a network device in the corresponding area fails due to network delay includes: Retrieve the network devices corresponding to set C and determine whether the network devices corresponding to set C have a delay failure: if yes, the corresponding regional devices fail due to network delay, and the corresponding devices are marked as set D; if no, the corresponding regional devices do not fail due to network delay; delay failure conditions include: network interruption, slow connection, high packet loss rate, server no response, server response time exceeds the set response time threshold, and data synchronization inconsistency.

6. The plant equipment management system based on a communication network according to claim 1, characterized in that: The determining whether the size of the area affects the delay of the communication network includes: Retrieve the network devices corresponding to the set D, count the size of each area and mark it as Si, and the number of times the network devices corresponding to the set D fail in each area due to network delay and mark it as Bi; where i represents the number; i = 1, 2, 3, ..., N, and N is a positive integer; Taking Si as the independent variable and Bi as the dependent variable, a fitting function is performed through least square estimation; determining whether the slope of the fitting function is always greater than 0; if yes, the size of the regional area has an impact on the delay of the communication network; if no, the size of the regional area has no impact on the delay of the communication network.

7. The plant equipment management system based on a communication network according to claim 1, characterized in that: The area fault scoring for each area includes: Retrieve Bi to obtain the number of faults that occur within a set period; mark the number as c, and use α as the scoring coefficient, where α∈[1,10]; calculate the area fault score using the formula FZ=c×α.

8. The plant equipment management system based on a communication network according to claim 1, characterized in that: The regional scoring is based on the importance of the region, including: The regional classification of the factory area is obtained from the database, and the production management area and the automation equipment control area are marked as Class A areas; the safety monitoring area and the design and development area are marked as Class B areas; the customer service and sales area, and the quality re-inspection area are marked as Class C areas; the three-level areas A, B, and C are scored respectively and marked as Fj; where j = 1, 2, 3; the score of the Class A area ∈ [80, 100]; the score of the Class B area ∈ [60, 80); the score of the Class C area ∈ [40, 60).

9. The plant equipment management system based on a communication network according to claim 1, characterized in that: The obtaining of the order of sending network signals according to the area fault score and the partition score comprises: Retrieve area fault scores and partition scores, The order score is calculated by the formula SX=FZ×θ+F×ɡ; according to the order score, the network signal corresponding to the network device with the higher order score is sent preferentially; wherein θ and ɡ are both proportional coefficients; θ∈[0,1], ɡ∈[0,1].

10. A method for managing plant equipment based on a communication network, applied to a plant equipment management system based on a communication network as claimed in any one of claims 1 to 9, characterized in that: include: S100: Use a third-party speed test website to regularly obtain latency data for all network devices in each area of ​​the factory; S200: Pre-check all devices in each area of ​​the factory; divide the fault types of corresponding network devices into groups through the pre-check; S300: Determine whether the network equipment in the corresponding area fails due to network delay; if yes, count the number of failures in each cycle; If not, continue to judge; S400: Determine whether the size of the area affects the delay of the communication network; If yes, perform area fault scoring for each area; if no, continue to judge; S500: Performing partition scoring according to the importance of the regions, and obtaining the order of network signal transmission according to the area fault score and the partition score.

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