Power maintenance personnel informatization management system and method based on equipment interaction

Abstract

The invention discloses a power maintenance personnel informatization management system and method based on equipment interaction, and relates to the technical field of informatization management, and the system comprises an operation data collection module, an operation analysis module, a database, a fault information receiving module and an adaptation analysis module, the operation video and the operation completion degree of the power equipment by the power maintenance personnel are collected and stored in the database, the operation analysis module scores the operation of the power equipment by the power maintenance personnel, and the fault information receiving module receives equipment fault information sent by the place where the power equipment is located. According to the invention, informatization management is carried out on the power maintenance personnel, and when the equipment needs to be maintained, the equipment operation experience, the fault repairing capability and the position of the power maintenance personnel are considered, so that the maintenance efficiency of the power maintenance personnel is improved. And recommending the power maintenance personnel most suitable for the operation equipment to the user.

Description

Technical Field

[0001] The present invention relates to the technical field of information management, and in particular to an information management system and method for electric power maintenance personnel based on device interaction. Background Art

[0002] Through the Internet of Things, a wide range of equipment information can be collected and summarized, which can achieve sensitive and fast equipment interaction and connect the entire equipment system. In the process of information management of power maintenance personnel, equipment interaction is the most critical step. The use of the Internet of Things can make the information management of power maintenance personnel safer and more efficient.

[0003] Power equipment is used in large quantities in large projects. It has the characteristics of many types of equipment and high precision. Power maintenance personnel need professional knowledge and rich experience to accurately use or repair power equipment. On the one hand, it is difficult to establish a database of power maintenance personnel with rich maintenance skills for different types of equipment. On the other hand, even if there is a database of power maintenance personnel, it is difficult to establish scoring standards for power maintenance personnel for any fault of any power equipment and select power maintenance personnel who can operate power equipment. On the other hand, it is difficult to select the most suitable personnel from power maintenance personnel with professional knowledge and rich maintenance experience to be transferred to the equipment location for operation.

[0004] Therefore, people need an information management system and method for power maintenance personnel based on equipment interaction to solve the above problems. Summary of the invention

[0005] The purpose of the present invention is to provide an information management system and method for electric power maintenance personnel based on device interaction to solve the problems raised in the above-mentioned background technology.

[0006] In order to solve the above technical problems, the present invention provides the following technical solutions: an information management system for electric maintenance personnel based on equipment interaction, the system comprising: an operation data acquisition module, an operation analysis module, a database, a fault information receiving module and an adaptation analysis module;

[0007] The operation data collection module collects equipment failure information of any power equipment, collects operation videos of any power maintenance personnel on any power equipment, analyzes the operation completion degree of this operation, and saves it in the database;

[0008] Score the operation of any power equipment by any power maintenance personnel through the operation analysis module;

[0009] Receiving equipment fault information sent by any electric equipment location through the fault information receiving module;

[0010] The adaptation analysis module selects an electric maintenance person to operate the electric equipment according to the equipment failure information sent from any location of the electric equipment.

[0011] Furthermore, the operation data acquisition module stores the operation video of any power maintenance personnel on any power equipment in the database through the Internet of Things, transmits the operation video through the Bluetooth network and saves it in the database. When saving the operation video, the operation data acquisition module adds notes to the operation video, and the notes include:

[0012] The identity information of the power maintenance personnel, the type of power equipment, the equipment failure information of the power equipment, the operation time and the operation completion degree. The operation completion degree is calculated by the on-site equipment responsible person filling in the operation status of the power equipment after the power maintenance personnel operate in the system. For example, the on-site equipment responsible person enters in the system whether the equipment operates normally after the power maintenance personnel operate, the difference in the display accuracy of the instrument before and after the power maintenance personnel operate, and the difference in the operating power of the motor before and after the power maintenance personnel operate. If the power equipment operated by the power maintenance personnel is a motor, the power is Z0 in the normal operating state, and the power drops to Z1 when a fault occurs. Through the maintenance operation of the power maintenance personnel, the motor power becomes Z2, and the operation completion degree D of the power maintenance personnel's operation is analyzed. Z , when Z2≤Z1, the operation completion degree D Z =0; when Z0>Z2>Z1, the operation completion degree D Z =50%; when Z2≥Z0, the operation completion degree D Z =100%.

[0013] Furthermore, the operation analysis module considers the operation time and operation completion degree of the power maintenance personnel on the power equipment, and scores the power equipment operation performed by the power maintenance personnel.

[0014] Furthermore, the fault information receiving module receives equipment fault information sent from any location of the power equipment through the Internet of Things, and the equipment fault information includes the type of power equipment and the type of power equipment fault.

[0015] Furthermore, the adaptation analysis module analyzes the equipment failure information, considers the operation score of the same type of power equipment of any power maintenance personnel, the power equipment operation proficiency and the distance between the power maintenance personnel and the power equipment, and recommends the preferred power maintenance personnel.

[0016] The information management method for power maintenance personnel based on equipment interaction includes the following steps:

[0017] S1: Collect the operation video of any power maintenance personnel on any power equipment, score the operation of any power maintenance personnel on any power equipment, and establish a power maintenance personnel scoring database;

[0018] S2: Receive equipment failure information from any power equipment location;

[0019] S3: Screening personnel who can operate any power equipment according to the equipment failure information sent by the location of any power equipment;

[0020] S4: Analyze the power maintenance personnel who can operate any power equipment, calculate the suitability score of the power maintenance personnel to operate any equipment, and recommend the preferred power maintenance personnel.

[0021] Furthermore, in step S1, the operation video of any power maintenance personnel on any power equipment is stored in the database, which is convenient for users to organize equipment maintenance steps and standardize the operation behavior of power maintenance personnel. I , Power Equipment Type B P , Power equipment failure type C Q , operation time T I_P_Q , I is the Ith power maintenance personnel recorded in the database, P is the Pth power equipment type recorded in the database, Q is the Qth power equipment fault type recorded in the database, and the on-site equipment responsible personnel fill in the operation status of the power equipment after the power maintenance personnel operate it in the system, and the system obtains the operation completion degree D I_P_Q , when the operation status is not able to run, the operation completion degree is D I_P_Q =D1; when the operation is able to run but cannot run stably for a long time, the operation completion degree is D I_P_Q =D2; When the power equipment can operate normally and stably, the operation completion degree is D I_P_Q = D3, calculate the operation score E of the power equipment by the power maintenance personnel I_P_Q :

[0022] E I_P_Q =K T *T I_P_Q +K D *D I_P_Q ;

[0023] Power equipment can be classified by power, or by power equipment and control equipment. The specific classification method is determined by user needs. P Different display modes are used instead; the types of power equipment failure can be classified into: equipment stop running, abnormal equipment noise, abnormal equipment temperature, abnormal equipment amplitude, etc. Q Replaced by different display modes, where K T is the weight of the operation time of the power maintenance personnel on the operation score, K Dis the weight of the operation completion degree of the power maintenance personnel on the operation score, and then the average score e of the power maintenance personnel I on the Pth power equipment operation is calculated. I_P , the average score e of the operation of power maintenance personnel I on all power equipment Q-type faults I_Q , the average score of the operation of the power maintenance personnel I on the Pth power equipment Qth fault e I_P_Q , the calculated operation scores are stored in the database, a real-time updated database is established, the stability of the arrangement of power maintenance personnel is enhanced, and it is also conducive to urging power maintenance personnel with weaker ability to operate power equipment to learn professional knowledge;

[0024] Furthermore, in step S2: the information of power maintenance personnel in the database is screened according to the equipment failure information sent from the location of any power equipment to find the personnel who can operate any power equipment.

[0025] Further, in step S3: the system selects personnel who can operate any power equipment according to the equipment failure information sent by the location of any power equipment, the equipment failure information is the power equipment model p and the power equipment failure type q, and evaluates the operating ability F of any power maintenance personnel i for operating the pth power equipment and repairing the qth failure i_p_q :

[0026] F i_p_q =K1*e i_p +K2*e i_q ;

[0027] K1 is the equipment operation score weight when evaluating the ability to repair faults, K2 is the fault repair score weight when evaluating the ability to repair faults, and when F i_p_q ≥F p_q When F i_p_q <F p_q When the system determines that the power maintenance personnel i is a person who cannot operate the power equipment p, F p_q In order to determine the qualified threshold of the fault repair capability for the qth fault of the pth type of power equipment, the power maintenance personnel are analyzed one by one. There are N power maintenance personnel who can operate the system. According to different types of power equipment and different types of faults, specific scoring criteria are set for the power maintenance personnel. The power maintenance personnel information in the database is further screened to exclude power maintenance personnel who cannot be dispatched to repair specific faults.

[0028] Further, in step S4, among the N power maintenance personnel, power maintenance personnel n is analyzed to calculate the proficiency score G of the power maintenance personnel in repairing the qth fault of the pth power equipment. n_p_q :

[0029] G n_p_q =k1*e i_p +k2*e i_q +k3*e i_p_q ;

[0030] Among them, k1 is the weight of the average score of the power maintenance personnel for the p-th power equipment operation, k2 is the weight of the average score of the power maintenance personnel for the q-th fault operation, and k3 is the weight of the average score of the power maintenance personnel for the q-th fault operation of the p-th power equipment. The power maintenance personnel n repairs the q-th fault adaptation score H of the p-th power equipment. n_p_q :

[0031] H n_p_q =k G *G n_p_q +k F *F i_p_q +k n *S n ;

[0032] Where S n is the distance between the power maintenance personnel n and the faulty power equipment, k G To analyze the proficiency weight of power maintenance personnel in the adaptation score, k F In order to analyze the weight of fault repair ability in the adaptation scoring of power maintenance personnel, k F In order to analyze the distance weight between power maintenance personnel n and power equipment when evaluating the power maintenance personnel adaptation, we substitute {n=1,2,…,N} one by one and calculate {H 1_p_q ,H 2_p_q ,…,H N_p_q}, the system selects J preferred power maintenance personnel from them according to the adaptation scores from high to low and recommends them to the user.

[0033] Compared with the prior art, the beneficial effects achieved by the present invention are: through the Internet of Things, the entire equipment system can be interconnected to ensure the stability of transmitted data, making the information management of power maintenance personnel safer and more efficient. On the one hand, the system collects maintenance data through the equipment connection system, establishes a scoring database for power maintenance personnel operating equipment and repairing faults, and establishes basic scoring standards. On the one hand, the system receives equipment fault information and equipment models sent from the equipment location, and analyzes power maintenance personnel who are experienced and capable of operating the equipment based on the information in the database. On the other hand, the system analyzes the power maintenance personnel who are most capable of operating the equipment based on the power maintenance personnel's repair fault ability, equipment operation proficiency and the power maintenance personnel's location, thereby improving the efficiency of information management of power maintenance personnel, reducing the time for selecting power maintenance personnel, and further ensuring the safety of power equipment. BRIEF DESCRIPTION OF THE DRAWINGS

[0034] The accompanying drawings are used to provide a further understanding of the present invention and constitute a part of the specification. Together with the embodiments of the present invention, they are used to explain the present invention and do not constitute a limitation of the present invention. In the accompanying drawings:

[0035] Figure 1 It is a structural diagram of the information management system for electric maintenance personnel based on equipment interaction of the present invention;

[0036] Figure 2 It is a flow chart of the information management method for electric power maintenance personnel based on device interaction of the present invention. DETAILED DESCRIPTION

[0037] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not 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.

[0038] See also Figure 1 and Figure 2 ,The present invention provides a technical solution: an information management system for electric maintenance personnel based on equipment interaction, the system includes: an operation data acquisition module, an operation analysis module, a database, a fault information receiving module and an adaptation analysis module;

[0039] The operation data collection module collects equipment failure information of any power equipment, collects operation videos of any power maintenance personnel on any power equipment, analyzes the operation completion degree of this operation, and saves it in the database;

[0040] Score the operation of any power equipment by any power maintenance personnel through the operation analysis module;

[0041] Receiving equipment fault information sent by any electric equipment location through the fault information receiving module;

[0042] The adaptation analysis module selects an electric maintenance person to operate the electric equipment according to the equipment failure information sent from any location of the electric equipment.

[0043] The operation data acquisition module stores the operation video of any power equipment by any power maintenance personnel in the database through the Internet of Things, transmits the operation video through the Bluetooth network and saves it in the database. When saving the operation video, the operation data acquisition module adds notes to the operation video, and the notes include: the identity information of the power maintenance personnel, the type of power equipment, the equipment failure information of the power equipment, the operation time and the operation completion degree. The operation completion degree is filled in by the person in charge of the on-site equipment in the system after the operation of the power maintenance personnel. The system calculates it according to the operation status of the power equipment. For example, the person in charge of the on-site equipment enters in the system whether the equipment is operating normally after the operation of the power maintenance personnel, the difference in instrument display accuracy before and after the operation of the power maintenance personnel, and the difference in motor efficiency before and after the operation of the power maintenance personnel.

[0044] The operation analysis module considers the operation time and operation completion degree of the power maintenance personnel on the power equipment, and scores the power equipment operation of the power maintenance personnel this time.

[0045] The fault information receiving module receives equipment fault information sent from any location of power equipment through the Internet of Things, and the equipment fault information includes the type of power equipment and the type of power equipment fault.

[0046] The adaptation analysis module analyzes the equipment failure information, considers the operation score of similar power equipment of any power maintenance personnel, the proficiency of power equipment operation and the distance between the power maintenance personnel and the power equipment, and recommends the preferred power maintenance personnel.

[0047] The information management method for power maintenance personnel based on equipment interaction includes the following steps:

[0048] S1: Collect the operation video of any power maintenance personnel on any power equipment, score the operation of any power maintenance personnel on any power equipment, and establish a power maintenance personnel scoring database;

[0049] S2: Receive equipment failure information from any power equipment location;

[0050] S3: Screening personnel who can operate any power equipment according to the equipment failure information sent by the location of any power equipment;

[0051] S4: Analyze the power maintenance personnel who can operate any power equipment, calculate the suitability score of the power maintenance personnel to operate any equipment, and recommend the preferred power maintenance personnel.

[0052] In step S1, the system records the power maintenance personnel A I , Power Equipment Type B P , Power equipment failure type C Q , operation time T I_P_Q, I is the Ith power maintenance personnel recorded in the database, P is the Pth power equipment type recorded in the database, Q is the Qth power equipment fault type recorded in the database, and the on-site equipment responsible personnel fill in the operation status of the power equipment after the power maintenance personnel operate it in the system, and the system obtains the operation completion degree D I_P_Q , when the operation status is not able to run, the operation completion degree is D I_P_Q =D1; when the operation is able to run but cannot run stably for a long time, the operation completion degree is D I_P_Q =D2; When the power equipment can operate normally and stably, the operation completion degree is D I_P_Q = D3, calculate the operation score E of the power equipment by the power maintenance personnel I_P_Q :

[0053] E I_P_Q =K T *T I_P_Q +K D *D I_P_Q ;

[0054] Power equipment can be classified by power, or by power equipment and control equipment. The specific classification method is determined by user needs. P Different display modes are used instead; the types of power equipment failure can be classified into: equipment stop running, abnormal equipment noise, abnormal equipment temperature, abnormal equipment amplitude, etc. Q Replaced by different display modes, where K T is the weight of the operation time of the power maintenance personnel on the operation score, K D is the weight of the operation completion degree of the power maintenance personnel on the operation score, and then the average score e of the power maintenance personnel I on the Pth power equipment operation is calculated. I_P , the average score e of the operation of power maintenance personnel I on all power equipment Q-type faults I_Q , the average score of the operation of the power maintenance personnel I on the Pth power equipment Qth fault e I_P_Q , the calculated operation scores are stored in the database, a real-time updated database is established, the stability of the arrangement of power maintenance personnel is enhanced, and it is also conducive to urging power maintenance personnel with weaker ability to operate power equipment to learn professional knowledge;

[0055] In step S2: according to the equipment failure information sent by any electric equipment location, the information of electric maintenance personnel in the database is screened to find the personnel who can operate any electric equipment;

[0056] In step S3: the system selects personnel who can operate any power equipment according to the equipment failure information sent by any power equipment location. The equipment failure information is the power equipment model p and the power equipment failure type q. The system evaluates the operating ability F of any power maintenance personnel i for operating the pth power equipment and repairing the qth failure. i_p_q :

[0057] F i_p_q =K1*e i_p +K2*e i_q ;

[0058] K1 is the equipment operation score weight when evaluating the ability to repair faults, K2 is the fault repair score weight when evaluating the ability to repair faults, and when F i_p_q ≥F p_q When F i_p_q <F p_q When the system determines that the power maintenance personnel i is a person who cannot operate the power equipment p, F p_q In order to determine the qualified threshold of the fault repair capability for the qth fault of the pth type of power equipment, the power maintenance personnel are analyzed one by one. There are N power maintenance personnel who can operate the system. According to different types of power equipment and different types of faults, specific scoring criteria are set for the power maintenance personnel. The power maintenance personnel information in the database is further screened to exclude power maintenance personnel who cannot be dispatched to repair specific faults.

[0059] In step S4, among the N power maintenance personnel, power maintenance personnel n is analyzed to calculate the proficiency score G of the power maintenance personnel in repairing the qth fault of the pth power equipment. n_p_q :

[0060] G n_p_q =k1*e i_p +k2*e i_q +k3*e i_p_q ;

[0061] Among them, k1 is the weight of the average score of the power maintenance personnel for the p-th power equipment operation, k2 is the weight of the average score of the power maintenance personnel for the q-th fault operation, and k3 is the weight of the average score of the power maintenance personnel for the q-th fault operation of the p-th power equipment. The power maintenance personnel n repairs the q-th fault adaptation score H of the p-th power equipment. n_p_q :

[0062] H n_p_q =k G *G n_p_q +k F *F i_p_q +kn *S n ;

[0063] Where S n is the distance between the power maintenance personnel n and the faulty power equipment, k G To analyze the proficiency weight of power maintenance personnel in the adaptation score, k F In order to analyze the weight of fault repair ability in the adaptation scoring of power maintenance personnel, k F In order to analyze the distance weight between power maintenance personnel n and power equipment when evaluating the power maintenance personnel adaptation, we substitute {n=1,2,…,N} one by one and calculate {H 1_p_q ,H 2_p_q ,…,H N_p_q}, the system selects J optimal power maintenance personnel from the highest to the lowest according to the adaptation score and recommends them to the user, that is, according to the power maintenance personnel's ability to repair faults, their proficiency in operating equipment and their location, the system analyzes the power maintenance personnel who are most capable of operating the equipment;

[0064] Embodiment 1: The system selects personnel who can operate any power equipment according to the equipment failure information sent by any power equipment location. The equipment failure information is power equipment model 3 and power equipment failure type 2. At this time, the system calls the average score e of power maintenance personnel i for the operation of the third type of power equipment from the database. i_3 =80, the average score e of the operation of power maintenance personnel i for the second fault of all power equipment i_2 =90, K1 is the equipment operation scoring weight when evaluating the ability to repair faults, which is set to 0.6, K2 is the fault repair scoring weight when evaluating the ability to repair faults, which is set to 0.4, and the fault repair ability F of any power maintenance personnel i when evaluating the second type of fault when operating the third type of power equipment is calculated. i_3_2 :

[0065] F i_3_2 =0.6*80+0.4*90=84;

[0066] When F i_p_q ≥F p_q =70, the system determines that the power maintenance personnel i is a person who can operate the power equipment p; when F i_p_q <F p_q =70, the system determines that the power maintenance personnel i is a person who cannot power equipment p, F p_q is the qualified threshold of the ability to repair the qth fault of the pth power equipment, so the i-th power maintenance personnel meets the system requirements. After analyzing the power maintenance personnel one by one, there are 20 power maintenance personnel who can operate;

[0067] Among these 20 power maintenance personnel, power maintenance personnel n is analyzed. At this time, the system calls S from the database n is the distance S between the power maintenance personnel n and the faulty power equipment n The average score of the power maintenance personnel n on the third type of power equipment operation is 40. n_3 The average score of the power maintenance personnel n on the operation of the third type of power equipment third fault is 85. n_3_2 =95, the average score e of the operation of the third type of power equipment and the second type of fault by the power maintenance personnel n n_3_2 is 90, k1 is the average score weight for evaluating the operation of the pth type of power equipment by the power maintenance personnel, which is set to 0.4, k2 is the weight for evaluating the average score of the operation of the qth type of fault by the power maintenance personnel, which is set to 0.3, and k3 is the weight for evaluating the average score of the operation of the qth type of fault by the power maintenance personnel on the pth type of power equipment, which is set to 0.3. Calculate the proficiency score G of the power maintenance personnel in repairing 2 types of faults of 3 types of power equipment n_3_2 :

[0068] G n_3_2 =0.4*85+0.3*95+0.3*90=89.5;

[0069] k G In order to analyze the proficiency weight of power maintenance personnel in the adaptation score, it is set to 0.45, k F In order to analyze the fault repair ability weight in the adaptation score of power maintenance personnel, it is set to 0.45, k F In order to analyze the adaptation score of power maintenance personnel, the distance weight between power maintenance personnel n and power equipment is set to 0.1. The adaptation score H of power maintenance personnel n repairing two types of faults of three types of power equipment is analyzed. n_3_2 :

[0070] H n_3_2 =0.45*84+0.45*89.5+0.1*40=86.55;

[0071] Substitute {n=1,2,…,N} one by one and calculate {H 1_3_2 ,H 2_3_2 ,…,H N_3_2}, the system selects 5 preferred power maintenance personnel and recommends them to the user.

[0072] It will be apparent to those skilled in the art that the invention is not limited to the details of the exemplary embodiments described above and that the invention can be implemented in other specific forms without departing from the spirit or essential features of the invention. Therefore, the embodiments should be considered exemplary and non-limiting in all respects, and the scope of the invention is defined by the appended claims rather than the foregoing description, and it is intended that all variations falling within the meaning and scope of the equivalent elements of the claims be included in the invention. Any reference numeral in a claim should not be considered as limiting the claim to which it relates.

Claims

1. The information management system for power maintenance personnel based on equipment interaction is characterized by: The system comprises: an operation data acquisition module, an operation analysis module, a database, a fault information receiving module and an adaptation analysis module; The operation data collection module collects equipment failure information of any power equipment, collects operation videos of any power maintenance personnel on any power equipment, analyzes the operation completion degree of this operation, and saves it in the database; Score the operation of any power equipment by any power maintenance personnel through the operation analysis module; Receiving equipment fault information sent by any electric equipment location through the fault information receiving module; The adaptation analysis module analyzes the equipment failure information sent from any location of the electric equipment and selects the electric maintenance personnel to operate the electric equipment.

2. The information management system for electric maintenance personnel based on equipment interaction according to claim 1 is characterized by: The operation data acquisition module collects the operation video of any power maintenance personnel on any power equipment through the Internet of Things, transmits the operation video through the Bluetooth network and saves it in the database. When saving the operation video, the operation data acquisition module adds notes to the operation video. The notes include: the identity information of the power maintenance personnel, the type of power equipment, the equipment failure information of the power equipment, the operation time and the operation completion degree. The operation completion degree is filled in by the on-site equipment responsible person in the system according to the operating status of the power equipment after the power maintenance personnel operate it, and the system calculates it according to the operating status of the power equipment.

3. The information management system for electric maintenance personnel based on equipment interaction according to claim 1 is characterized by: The operation analysis module considers the operation time and operation completion degree of the power maintenance personnel on the power equipment, and scores the power equipment operation of the power maintenance personnel this time.

4. The information management system for electric maintenance personnel based on equipment interaction according to claim 1 is characterized by: The fault information receiving module receives equipment fault information sent from any location of power equipment through the Internet of Things, and the equipment fault information includes the type of power equipment and the type of power equipment fault.

5. The information management system for electric maintenance personnel based on equipment interaction according to claim 1 is characterized by: The adaptation analysis module analyzes the equipment failure information, considers the operation score of similar power equipment of any power maintenance personnel, the proficiency of power equipment operation and the distance between the power maintenance personnel and the power equipment, and recommends the preferred power maintenance personnel.

6. An information management method for power maintenance personnel based on equipment interaction, characterized in that: The following steps are involved: S1: Collect the operation video of any power maintenance personnel on any power equipment, score the operation of any power maintenance personnel on any power equipment, and establish a power maintenance personnel scoring database; S2: Receive equipment failure information from any power equipment location; S3: Screening personnel who can operate any power equipment according to the equipment failure information sent by the location of any power equipment; S4: Analyze the power maintenance personnel who can operate any power equipment, calculate the suitability score of the power maintenance personnel to operate any equipment, and recommend the preferred power maintenance personnel.

7. The method for information management of electric maintenance personnel based on device interaction according to claim 6 is characterized in that: In step S1, the system records the power maintenance personnel A I , Power Equipment Type B P , Power equipment failure type C Q , operation time T I_P_Q , I is the Ith power maintenance personnel recorded in the database, P is the Pth power equipment type recorded in the database, Q is the Qth power equipment fault type recorded in the database, and the on-site equipment responsible personnel fill in the operation status of the power equipment after the power maintenance personnel operate it in the system, and the system obtains the operation completion degree D I_P_Q , when the operation status is not able to run, the operation completion degree is D I_P_Q =D1; when the operation is able to run but cannot run stably for a long time, the operation completion degree is D I_P_Q =D2; When the power equipment can operate normally and stably, the operation completion degree is D I_P_Q = D3, calculate the operation score E of the power equipment by the power maintenance personnel I_P_Q : E I_P_Q =K T +T I_P_Q +K D *D I_P_Q ; Where K T is the weight of the operation time of the power maintenance personnel on the operation score, K D is the weight of the operation completion degree of the power maintenance personnel on the operation score. Then, the average value method is used to calculate the scores of all the operations of the power maintenance personnel I on the Pth power equipment, and the average score of the power maintenance personnel I on the Pth power equipment operation is obtained. I_P Calculate the score of all the operations of power maintenance personnel I on the Qth fault by the average method, and obtain the average score of the operation of power maintenance personnel I on all power equipment Qth faults e I_Q Calculate the operation score of the power maintenance personnel I on the Qth fault of the Pth power equipment by the average method, and obtain the average score of the operation of the power maintenance personnel I on the Qth fault of the Pth power equipment e I_P_Q , and store the calculated operation score in the database.

8. The method for information management of electric maintenance personnel based on device interaction according to claim 7 is characterized in that: In step S3: the system selects personnel who can operate any power equipment according to the equipment failure information sent by any power equipment location. The equipment failure information is the power equipment model p and the power equipment failure type q. The system evaluates the operating ability F of any power maintenance personnel i for operating the pth power equipment and repairing the qth failure. i_p_q : F i_p_q =K1*e i_p +K2*e i_q ; K1 is the equipment operation score weight when evaluating the ability to repair faults, K2 is the fault repair score weight when evaluating the ability to repair faults, and when F i_p_q ≥F p_q When F i_p_q <F p_q When the system determines that the power maintenance personnel i is a person who cannot operate the power equipment p, F p_q To obtain a qualified threshold of the fault repair capability for the qth fault of the pth power equipment, the power maintenance personnel are analyzed one by one, and there are N power maintenance personnel in total who can operate the power equipment.

9. The method for information management of electric maintenance personnel based on device interaction according to claim 8 is characterized in that: In step S4, among the N power maintenance personnel, power maintenance personnel n is analyzed to calculate the proficiency score G of the power maintenance personnel in repairing the qth fault of the pth power equipment. n_p_q : G n_p_q =k1*e i_p +k2*e i_q +k3*e i_p_q ; Among them, k1 is the weight of the average score of the power maintenance personnel for the p-th power equipment operation, k2 is the weight of the average score of the power maintenance personnel for the q-th fault operation, and k3 is the weight of the average score of the power maintenance personnel for the q-th fault operation of the p-th power equipment. The power maintenance personnel n repairs the q-th fault adaptation score H of the p-th power equipment. n_p_q : H n_p_q =k G *G n_p_q +k F *F i_p_q +k n *S n ; Where S n is the distance between the power maintenance personnel n and the faulty power equipment, k G To analyze the proficiency weight of power maintenance personnel in the adaptation score, k F In order to analyze the weight of fault repair ability in the adaptation scoring of power maintenance personnel, k F In order to analyze the distance weight between power maintenance personnel n and power equipment when evaluating the power maintenance personnel adaptation, we substitute {n=1,2,…,N} one by one and calculate {H 1_p_q ,H 2_p_q ,…,H N_p_q }, the system selects J preferred power maintenance personnel from them according to the adaptation scores from high to low and recommends them to the user.

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