A cross-network collaborative office management system and method based on big data

Abstract

The present invention discloses a cross-network collaborative office management system and method based on big data, and relates to the field of collaborative office technology. The management method comprises the following steps: constructing a collaborative office management system to record each collaborative office process and generate a corresponding collaborative record; conducting a comprehensive performance evaluation on any collaborative record; arbitrarily selecting an office device, analyzing the affinity between the office device and other office devices, and obtaining the actual data processing performance of the office device in the relevant collaborative record; extracting characteristic factors that affect the office device in different network environments, and obtaining the degree of influence of various network environments on the performance of the office device; when generating a real-time collaborative record, based on the affinity between a number of office devices, performing performance prediction on each office device, confirming the network environment of any office device and recommending it to the user.

Description

Technical Field

[0001] The present invention relates to the field of collaborative office technology, and in particular to a cross-network collaborative office management system and method based on big data. Background Art

[0002] Cross-network collaborative office refers to the use of modern information technology to achieve efficient collaboration and communication between team members in different network environments. Currently, with the expansion of enterprise scale and the complexity of business, enterprises often need to operate and manage in multiple network environments.

[0003] However, traditional automated office systems are mostly limited to a single network environment, making it difficult to achieve cross-network collaborative office work, leading to problems such as information islands and low efficiency. When conducting cross-network collaborative office work, the data transmission performance of different devices in different network environments will vary greatly. If the appropriate network environment cannot be selected, it will affect data transmission, causing serious obstacles to the progress of collaborative office work and work efficiency. Summary of the invention

[0004] The purpose of the present invention is to provide a cross-network collaborative office management system and method based on big data to solve the problems raised in the prior art.

[0005] To achieve the above object, the present invention provides the following technical solution: a cross-network collaborative office management method based on big data, the management method comprising the following steps:

[0006] Step S100: construct a collaborative office management system to record each collaborative office process, extract the network environment of each office device in each collaborative office, and generate a corresponding collaborative record; evaluate the data processing performance of each office device in any collaborative record under the network environment, and obtain the comprehensive performance of the collaborative record;

[0007] Step S200: randomly selecting an office device, obtaining various relevant collaboration records in which the office device participates, analyzing the performance evaluation between various office devices in any relevant collaboration record, and obtaining the affinity between the office device and other office devices; based on the affinity between the office devices in any relevant collaboration record, obtaining the actual data processing performance of the office device in the relevant collaboration record;

[0008] Step S300: extracting characteristic factors affecting the office equipment in different network environments based on actual data processing performance differences between any related collaborative records of the office equipment; analyzing the influence of each characteristic factor on the office equipment in different network environments, and obtaining the degree of influence of each network environment on the performance of the office equipment;

[0009] Step S400: When several office devices are selected for collaborative work, a real-time collaboration record is generated, and the performance changes of any office device in any network environment are analyzed. Based on the affinity between the several office devices, the performance of each office device is predicted, and the network environment of any office device is confirmed and recommended to the user.

[0010] Furthermore, step S100 includes the following steps:

[0011] Step S101: acquiring device information of each office device participating in any collaborative office process, extracting network information of the office device from any office device, and confirming the network environment of the office device; summarizing the device information of each office device and its network environment, and generating a collaborative record corresponding to the collaborative office device;

[0012] Step S102: arbitrarily select an office device from the collaboration record, divide the data processing performance of the office device in the network environment into multiple dimensions, preset corresponding evaluation rules for each dimension, and obtain the performance evaluation value of the office device in any dimension;

[0013] Step S103: Accumulate the performance evaluation values ​​under different dimensions to obtain the performance value of the office equipment; accumulate the performance value of each office equipment in the collaborative record to obtain the comprehensive performance value of the collaborative record.

[0014] Further, step S200 includes the following steps:

[0015] Step S201: extracting device information of any selected office equipment, comparing the device information with the device information of each office equipment in any collaboration record, and if the device information in a collaboration record is the same as the device information of the office equipment, setting the collaboration record as the relevant collaboration record of the office equipment;

[0016] Step S202: Acquire all relevant collaboration records of the office device to obtain a relevant collaboration record set of the office device; arbitrarily select a relevant collaboration record from the relevant collaboration record set, and arbitrarily extract an office device other than the office device and set it as a relevant device;

[0017] Step S203: extract the performance evaluation values ​​of the office equipment and the related equipment in different dimensions respectively, and set the performance evaluation value of the office equipment in the i-th dimension to (x i )1 and the performance evaluation value of the related equipment in the i-th dimension is (x i )2, according to the formula:

[0018] ;

[0019] Wherein, m is the number of dimensions for performance evaluation of the office equipment and the related equipment, j1 and j2 are positive integers, and j1∈(1,m), j2∈(1,m), (x j1 )1 is the performance evaluation value of the office equipment in the j1th dimension, (x j2 )2 is the performance evaluation value of the related equipment in the j2th dimension; the performance difference metric D and the collaborative capability metric C between the office equipment and the related equipment are calculated; the affinity between the office equipment and the related equipment is obtained as Q=C / (D+1);

[0020] The affinity between two office devices needs to consider the coordination ability and performance difference between the devices. The performance difference between the devices is obtained by calculating the performance difference in each dimension, and the coordination ability between the devices is obtained by calculating the performance ratio between the devices. Adding a constant 1 in the affinity calculation process ensures that the affinity is between (0,1).

[0021] Step S204: Obtain the affinity between the office device and any other related devices in the related collaboration record, and obtain the performance value of the office device in the related collaboration record as X, according to the formula:

[0022] ;

[0023] Wherein, k is a positive integer, k∈(1,n), n is the number of related devices in the related collaborative record, Q k is the affinity between the office equipment and the kth related equipment; the actual performance value X of the office equipment in the related collaboration record is calculated ac Analyzing the actual performance values ​​of various office equipment can help with subsequent analysis of the impact of different environments on the performance of office equipment.

[0024] Further, step S300 includes the following steps:

[0025] Step S301: Acquire a set of relevant collaborative records of any selected office equipment, select any two relevant collaborative records, and obtain the performance values ​​X and X of the office equipment in the two relevant collaborative records respectively. ’ , the performance difference of the office equipment in the two related collaborative records is ΔX=|XX ’ |; respectively obtain the actual performance difference of the office equipment in the two related collaborative records as ΔX ac , set a deviation threshold η, if |ΔX-ΔX ac| / ΔX>η, the performance value is used as a characteristic factor of the office equipment; the operating performance of the equipment itself will be affected by the network environment, and the performance difference with a large degree of change can directly reflect the degree of influence of the network environment;

[0026] Step S302: Obtain a set of identical devices excluding the office device in the two related collaboration records, arbitrarily select the ath identical device therein, and obtain the affinity Q between the office device and the ath identical device in the two related collaboration records. a and(Q a ) ’ ; If |Q a -(Q a ) ’ | / Q a >η, the affinity between the office device and the ath identical device is taken as a characteristic factor of the office device; because the network environment affects the performance of the device itself, it also affects the affinity between devices. A large change in affinity is also a characteristic factor affected by the network environment;

[0027] Step S303: Summarize the network environments of the various office devices in the various collaboration records to generate a network environment set; set that the network environments of the office devices in the two related collaboration records are all class v networks; according to the formula:

[0028] ;

[0029] Among them, u is the number of the same devices in the same device set, Flag a Flag for the characteristic factor of the ath identical device. If the affinity between the office device and the ath identical device is a characteristic factor, then Flag a =1, otherwise, Flag a =0; calculate the total impact Y of the vth network on the performance of the office equipment in the two related collaborative records vv , we get the impact of the v-th network on the performance of the office equipment as Y v =Y vv / 2; the first half of the formula is the change range of affinity between devices, and the second half is the change range of performance value, both of which are factors affected by the network environment; the sum of the influence of two devices in the same network is obtained. Because the two devices are in the same network, the sum of the influence of a class of networks can be obtained by calculating the average value.

[0030] Further, step S400 includes the following steps:

[0031] Step S401: Obtain any office equipment in the real-time collaboration record, and set the performance impact of the w-th network on the office equipment to Y. w ; Obtain the actual performance value of the office equipment in each relevant collaborative record, and calculate the average value to obtain the actual performance average value (X ac ) ave , according to the formula:

[0032] ;

[0033] Wherein, z is a positive integer, and z∈(1,r), r is the number of related devices of the office equipment in the real-time collaborative record, Q z is the affinity between the zth related device and the office device; the performance value X of the office device under the wth network is calculated. w ;

[0034] Step S402: Calculate the performance value of any office equipment in the real-time collaboration record under various types of networks, select a network environment with the largest performance value for each office equipment, and recommend it to the user.

[0035] In order to better implement the above method, a cross-network collaborative office management system is also proposed. The management system includes a collaborative record analysis module, an equipment performance evaluation module, a performance impact analysis module and a real-time network recommendation module;

[0036] The collaborative record analysis module is used to build a collaborative office management system to record each collaborative office process, extract the network environment of each office device in each collaborative office, and generate a corresponding collaborative record; evaluate the data processing performance of each office device in any collaborative record in the network environment, and obtain the comprehensive performance of the collaborative record;

[0037] The device performance evaluation module is used to select an office device at random, obtain various related collaboration records in which the office device participates, analyze the performance evaluation between various office devices in any related collaboration record, and obtain the affinity between the office device and other office devices; based on the affinity between the office devices in any related collaboration record, obtain the actual data processing performance of the office device in the related collaboration record;

[0038] A performance impact analysis module is used to extract characteristic factors that affect the office equipment in different network environments based on the actual data processing performance differences between any related collaborative records of the office equipment; analyze the impact of each characteristic factor on the office equipment in different network environments, and obtain the degree of performance impact of various network environments on the office equipment;

[0039] The real-time network recommendation module is used to generate a real-time collaboration record when selecting several office devices for collaborative work, analyze the performance changes of any office device in any network environment; based on the affinity between the several office devices, predict the performance of each office device, confirm the network environment of any office device and recommend it to the user.

[0040] Further, the collaborative record analysis module includes a collaborative record generation unit and a comprehensive performance evaluation unit;

[0041] The collaborative record generation unit is used to build a collaborative office management system to record each collaborative office process, extract the network environment of each office device in each collaborative office, and generate a corresponding collaborative record; the comprehensive performance evaluation unit is used to evaluate the data processing performance of each office device in any collaborative record in the network environment in which it is located, and obtain the comprehensive performance of the collaborative record.

[0042] Further, the device performance evaluation module includes a device affinity calculation unit and an actual performance calculation unit;

[0043] The device affinity calculation unit is used to arbitrarily select an office device, obtain the relevant collaborative records in which the office device participates, analyze the performance evaluation between the various office devices in any relevant collaborative record, and obtain the affinity between the office device and other office devices; the actual performance calculation unit is used to obtain the actual data processing performance of the office device in any relevant collaborative record based on the affinity between the office devices.

[0044] Further, the performance impact analysis module includes a characteristic factor extraction unit and an impact degree calculation unit;

[0045] The characteristic factor extraction unit is used to extract the characteristic factors that affect the office equipment in different network environments based on the actual data processing performance differences between any related collaborative records of the office equipment; the impact degree calculation unit is used to analyze the impact of each characteristic factor on the office equipment in different network environments, and obtain the performance impact of various network environments on the office equipment.

[0046] Further, the real-time network recommendation module includes a real-time data analysis unit and a network performance analysis unit;

[0047] The real-time data analysis unit is used to generate a real-time collaboration record when selecting several office devices for collaborative work, and analyze the performance changes of any office device in any network environment; the network performance analysis unit is used to predict the performance of each office device based on the affinity between the several office devices, confirm the network environment of any office device and make recommendations to users.

[0048] Compared with the prior art, the present invention has the following beneficial effects:

[0049] 1. The present invention solves the problem that the existing office automation system cannot efficiently and safely collaborate in a multi-network environment, helps users select an efficient network environment when collaborating, realizes efficient collaborative work in a multi-network environment, and improves office efficiency;

[0050] 2. The present invention obtains the affinity between various office devices by analyzing the performance differences of various office devices in a collaborative office process; and obtains more accurate actual performance by eliminating the affinity between devices, which is conducive to helping users select office devices with more efficient processing performance and improve office efficiency;

[0051] 3. The present invention helps users understand the performance differences of office equipment in different network environments by analyzing the impact of office equipment in different network environments on equipment affinity and the processing performance of the equipment itself, so as to choose a more appropriate network environment during collaborative office work, and effectively improve the progress and work efficiency of collaborative office work. BRIEF DESCRIPTION OF THE DRAWINGS

[0052] Figure 1 A schematic diagram of the steps of a cross-network collaborative office management method based on big data;

[0053] Figure 2 The schematic diagram of the structure of a cross-network collaborative office management system based on big data. DETAILED DESCRIPTION

[0054] 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.

[0055] like Figure 1 to Figure 2 As shown, the present invention provides a cross-network collaborative office management method based on big data, and the management method includes the following steps:

[0056] Step S100: construct a collaborative office management system to record each collaborative office process, extract the network environment of each office device in each collaborative office, and generate a corresponding collaborative record; evaluate the data processing performance of each office device in any collaborative record under the network environment, and obtain the comprehensive performance of the collaborative record;

[0057] Wherein, step S100 includes the following steps:

[0058] Step S101: acquiring device information of each office device participating in any collaborative office process, extracting network information of the office device from any office device, and confirming the network environment of the office device; summarizing the device information of each office device and its network environment, and generating a collaborative record corresponding to the collaborative office device;

[0059] Step S102: arbitrarily select an office device from the collaboration record, divide the data processing performance of the office device in the network environment into multiple dimensions, preset corresponding evaluation rules for each dimension, and obtain the performance evaluation value of the office device in any dimension;

[0060] Step S103: Accumulate the performance evaluation values ​​under different dimensions to obtain the performance value of the office equipment; accumulate the performance value of each office equipment in the collaborative record to obtain the comprehensive performance value of the collaborative record.

[0061] Step S200: randomly selecting an office device, obtaining various relevant collaboration records in which the office device participates, analyzing the performance evaluation between various office devices in any relevant collaboration record, and obtaining the affinity between the office device and other office devices; based on the affinity between the office devices in any relevant collaboration record, obtaining the actual data processing performance of the office device in the relevant collaboration record;

[0062] Wherein, step S200 includes the following steps:

[0063] Step S201: extracting device information of any selected office equipment, comparing the device information with the device information of each office equipment in any collaboration record, and if the device information in a collaboration record is the same as the device information of the office equipment, setting the collaboration record as the relevant collaboration record of the office equipment;

[0064] Step S202: Acquire all relevant collaboration records of the office device to obtain a relevant collaboration record set of the office device; arbitrarily select a relevant collaboration record from the relevant collaboration record set, and arbitrarily extract an office device other than the office device and set it as a relevant device;

[0065] Step S203: extract the performance evaluation values ​​of the office equipment and the related equipment in different dimensions respectively, and set the performance evaluation value of the office equipment in the i-th dimension to (x i )1 and the performance evaluation value of the related equipment in the i-th dimension is (x i )2, according to the formula:

[0066] ;

[0067] Wherein, m is the number of dimensions for performance evaluation of the office equipment and the related equipment, j1 and j2 are positive integers, and j1∈(1,m), j2∈(1,m), (x j1 )1 is the performance evaluation value of the office equipment in the j1th dimension, (x j2 )2 is the performance evaluation value of the related equipment in the j2th dimension; the performance difference metric D and the collaborative capability metric C between the office equipment and the related equipment are calculated; the affinity between the office equipment and the related equipment is obtained as Q=C / (D+1);

[0068] Example 1: The performance evaluation values ​​of the office equipment in three dimensions are set to 10, 15 and 20 respectively, while the performance evaluation values ​​of the related equipment in the same three dimensions are set to 9, 17 and 18 respectively, and the performance difference metric D is calculated to be (1+4+4) 1 / 2 =3, the synergy capability measure C=45 / 44=1.023; the calculated affinity Q=1.023 / 4=25.57%;

[0069] Step S204: Obtain the affinity between the office device and any other related devices in the related collaboration record, and obtain the performance value of the office device in the related collaboration record as X, according to the formula:

[0070] ;

[0071] Wherein, k is a positive integer, k∈(1,n), n is the number of related devices in the related collaborative record, Q k is the affinity between the office equipment and the kth related equipment; the actual performance value X of the office equipment in the related collaboration record is calculated ac ;

[0072] Example 2: Assume that the affinity between the office equipment and two related equipment is 80% and 90% respectively, and the performance value of the office equipment is 50, and the actual performance value is calculated to be X ac =50 / (0.8×0.9)=69.44;

[0073] Step S300: extracting characteristic factors affecting the office equipment in different network environments based on actual data processing performance differences between any related collaborative records of the office equipment; analyzing the influence of each characteristic factor on the office equipment in different network environments, and obtaining the degree of influence of each network environment on the performance of the office equipment;

[0074] Wherein, step S300 includes the following steps:

[0075] Step S301: Acquire a set of relevant collaborative records of any selected office equipment, select any two relevant collaborative records, and obtain the performance values ​​X and X of the office equipment in the two relevant collaborative records respectively. ’ , the performance difference of the office equipment in the two related collaborative records is ΔX=|XX ’ |; respectively obtain the actual performance difference of the office equipment in the two related collaborative records as ΔX ac , set a deviation threshold η, if |ΔX-ΔX ac | / ΔX>η, the performance value is taken as a characteristic factor of the office equipment;

[0076] Step S302: Obtain a set of identical devices excluding the office device in the two related collaboration records, arbitrarily select the ath identical device therein, and obtain the affinity Q between the office device and the ath identical device in the two related collaboration records. a and(Q a ) ’ ; If |Q a -(Q a ) ’ | / Q a >η, then the affinity between the office equipment and the ath identical equipment is taken as a characteristic factor of the office equipment;

[0077] Step S303: Summarize the network environments of the various office devices in the various collaboration records to generate a network environment set; set that the network environments of the office devices in the two related collaboration records are all class v networks; according to the formula:

[0078] ;

[0079] Among them, u is the number of the same devices in the same device set, Flag a Flag for the characteristic factor of the ath identical device. If the affinity between the office device and the ath identical device is a characteristic factor, then Flag a =1, otherwise, Flag a =0; calculate the total impact Y of the vth network on the performance of the office equipment in the two related collaborative records vv , we get the impact of the v-th network on the performance of the office equipment as Y v =Y vv / 2;

[0080] Example 3: The affinity difference between the office device and two identical devices is 10% and 8%, and the performance values ​​are 30 and 40 respectively, and the total performance impact of the office device in the vth network in the two collaboration records is obtained as Y vv =18% / 2+10 / 70=9%+14.3%=23.3%, and the influence of the v-th network on the performance of the office equipment is calculated to be Y v =11.65%;

[0081] Step S400: when a number of office devices are selected for collaborative work, a real-time collaborative record is generated, and the performance change of any office device in any network environment is analyzed; based on the affinity between the several office devices, the performance of each office device is predicted, and the network environment of any office device is confirmed and recommended to the user;

[0082] Wherein, step S400 includes the following steps:

[0083] Step S401: Obtain any office equipment in the real-time collaboration record, and set the performance impact of the w-th network on the office equipment to Y. w ; Obtain the actual performance value of the office equipment in each relevant collaborative record, and calculate the average value to obtain the actual performance average value (X ac ) ave , according to the formula:

[0084] ;

[0085] Wherein, z is a positive integer, and z∈(1,r), r is the number of related devices of the office equipment in the real-time collaborative record, Q z is the affinity between the zth related device and the office device; the performance value X of the office device under the wth network is calculated. w ;

[0086] Step S402: Calculate the performance value of any office equipment in the real-time collaboration record under various types of networks, select a network environment with the largest performance value for each office equipment, and recommend it to the user.

[0087] A cross-network collaborative office management system, the management system includes a collaborative record analysis module, an equipment performance evaluation module, a performance impact analysis module and a real-time network recommendation module;

[0088] The collaborative record analysis module is used to build a collaborative office management system to record each collaborative office process, extract the network environment of each office device in each collaborative office, and generate a corresponding collaborative record; evaluate the data processing performance of each office device in any collaborative record in the network environment, and obtain the comprehensive performance of the collaborative record;

[0089] The device performance evaluation module is used to select an office device at random, obtain various related collaboration records in which the office device participates, analyze the performance evaluation between various office devices in any related collaboration record, and obtain the affinity between the office device and other office devices; based on the affinity between the office devices in any related collaboration record, obtain the actual data processing performance of the office device in the related collaboration record;

[0090] A performance impact analysis module is used to extract characteristic factors that affect the office equipment in different network environments based on the actual data processing performance differences between any related collaborative records of the office equipment; analyze the impact of each characteristic factor on the office equipment in different network environments, and obtain the degree of performance impact of various network environments on the office equipment;

[0091] The real-time network recommendation module is used to generate a real-time collaboration record when selecting several office devices for collaborative work, analyze the performance changes of any office device in any network environment; based on the affinity between the several office devices, predict the performance of each office device, confirm the network environment of any office device and recommend it to the user.

[0092] Among them, the collaborative record analysis module includes a collaborative record generation unit and a comprehensive performance evaluation unit;

[0093] The collaborative record generation unit is used to build a collaborative office management system to record each collaborative office process, extract the network environment of each office device in each collaborative office, and generate a corresponding collaborative record; the comprehensive performance evaluation unit is used to evaluate the data processing performance of each office device in any collaborative record in the network environment in which it is located, and obtain the comprehensive performance of the collaborative record.

[0094] Among them, the device performance evaluation module includes a device affinity calculation unit and an actual performance calculation unit;

[0095] The device affinity calculation unit is used to arbitrarily select an office device, obtain various related collaborative records in which the office device participates, analyze the performance evaluation between various office devices in any related collaborative record, and obtain the affinity between the office device and other office devices; the actual performance calculation unit is used to obtain the actual data processing performance of the office device in any related collaborative record based on the affinity between the office devices.

[0096] Among them, the performance impact analysis module includes a characteristic factor extraction unit and an impact degree calculation unit;

[0097] The characteristic factor extraction unit is used to extract the characteristic factors that affect the office equipment in different network environments based on the actual data processing performance differences between any related collaborative records of the office equipment; the impact degree calculation unit is used to analyze the impact of each characteristic factor on the office equipment in different network environments, and obtain the performance impact of various network environments on the office equipment.

[0098] Among them, the real-time network recommendation module includes a real-time data analysis unit and a network performance analysis unit;

[0099] The real-time data analysis unit is used to generate a real-time collaboration record when selecting several office devices for collaborative work, and analyze the performance changes of any office device in any network environment; the network performance analysis unit is used to predict the performance of each office device based on the affinity between the several office devices, confirm the network environment of any office device and make recommendations to users.

[0100] 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. A cross-network collaborative office management method based on big data, characterized by: The management method comprises the following steps: Step S100: construct a collaborative office management system to record each collaborative office process, extract the network environment of each office device in each collaborative office, and generate a corresponding collaborative record; evaluate the data processing performance of each office device in any collaborative record under the network environment, and obtain the comprehensive performance of the collaborative record; Step S200: randomly selecting an office device, obtaining various relevant collaboration records in which the office device participates, analyzing the performance evaluation between various office devices in any relevant collaboration record, and obtaining the affinity between the office device and other office devices; based on the affinity between the office devices in any relevant collaboration record, obtaining the actual data processing performance of the office device in the relevant collaboration record; Step S300: extracting characteristic factors affecting the office equipment in different network environments based on actual data processing performance differences between any related collaborative records of the office equipment; analyzing the influence of each characteristic factor on the office equipment in different network environments, and obtaining the degree of influence of each network environment on the performance of the office equipment; Step S400: When several office devices are selected for collaborative work, a real-time collaboration record is generated to analyze the performance changes of any office device in any network environment; based on the affinity between the several office devices, the performance of each office device is predicted, the network environment of any office device is confirmed and recommended to the user.

2. According to the big data-based cross-network collaborative office management method of claim 1, it is characterized by: The step S100 includes the following steps: Step S101: acquiring device information of each office device participating in any collaborative office process, extracting network information of the office device from any office device, and confirming the network environment of the office device; summarizing the device information of each office device and its network environment, and generating a collaborative record corresponding to the office device; Step S102: arbitrarily select an office device from the collaboration record, divide the data processing performance of the office device in the network environment into multiple dimensions, preset corresponding evaluation rules for each dimension, and obtain the performance evaluation value of the office device in any dimension; Step S103: Accumulate the performance evaluation values ​​under different dimensions to obtain the performance value of the office equipment; accumulate the performance value of each office equipment in the collaborative record to obtain the comprehensive performance value of the collaborative record.

3. The cross-network collaborative office management method based on big data according to claim 2 is characterized by: The step S200 includes the following steps: Step S201: extracting device information of any selected office equipment, comparing the device information with the device information of each office equipment in any collaboration record, and if the device information in a collaboration record is the same as the device information of the office equipment, setting the collaboration record as the relevant collaboration record of the office equipment; Step S202: Acquire all relevant collaboration records of the office device to obtain a relevant collaboration record set of the office device; arbitrarily select a relevant collaboration record from the relevant collaboration record set, and arbitrarily extract an office device other than the office device and set it as a relevant device; Step S203: extract the performance evaluation values ​​of the office equipment and the related equipment in different dimensions respectively, and set the performance evaluation value of the office equipment in the i-th dimension to (x i )1 and the performance evaluation value of the related equipment in the i-th dimension is (x i )2, according to the formula: ； Wherein, m is the number of dimensions for performance evaluation of the office equipment and the related equipment, j1 and j2 are positive integers, and j1∈(1,m), j2∈(1,m), (x j1 )1 is the performance evaluation value of the office equipment in the j1th dimension, (x j2 )2 is the performance evaluation value of the related equipment in the j2th dimension; the performance difference metric D and the collaborative capability metric C between the office equipment and the related equipment are calculated; the affinity between the office equipment and the related equipment is obtained as Q=C / (D+1); Step S204: Obtain the affinity between the office device and any other related devices in the related collaboration record, and obtain the performance value of the office device in the related collaboration record as X, according to the formula: ； Wherein, k is a positive integer, k∈(1,n), n is the number of related devices in the related collaborative record, Q k is the affinity between the office equipment and the kth related equipment; the actual performance value X of the office equipment in the related collaboration record is calculated ac .

4. The cross-network collaborative office management method based on big data according to claim 3 is characterized by: The step S300 includes the following steps: Step S301: Acquire a set of relevant collaborative records of any selected office equipment, select any two relevant collaborative records, and obtain the performance values ​​X and X of the office equipment in the two relevant collaborative records respectively. ’ , the performance difference of the office equipment in the two related collaborative records is ΔX=|XX ’ |; respectively obtain the actual performance difference of the office equipment in the two related collaborative records as ΔX ac , set a deviation threshold η, if |ΔX-ΔX ac | / ΔX>η, the performance value is taken as a characteristic factor of the office equipment; Step S302: Obtain a set of identical devices excluding the office device in the two related collaboration records, arbitrarily select the ath identical device therein, and obtain the affinity Q between the office device and the ath identical device in the two related collaboration records. a and(Q a ) ’ ; If |Q a -(Q a ) ’ | / Q a >η, then the affinity between the office equipment and the ath identical equipment is taken as a characteristic factor of the office equipment; Step S303: Summarize the network environments of the various office devices in the various collaboration records to generate a network environment set; set that in the two related collaboration records, the network environments of the office devices are all class v networks; according to the formula: ； Among them, u is the number of the same devices in the same device set, Flag a Flag for the characteristic factor of the ath identical device. If the affinity between the office device and the ath identical device is a characteristic factor, then Flag a =1, otherwise, Flag a =0; calculate the total impact Y of the vth network on the performance of the office equipment in the two related collaborative records vv , we get the impact of the v-th network on the performance of the office equipment as Y v =Y vv / 2.

5. The cross-network collaborative office management method based on big data according to claim 4 is characterized by: The step S400 includes the following steps: Step S401: Obtain any office equipment in the real-time collaboration record, and set the performance impact of the w-th network on the office equipment to Y. w ; Obtain the actual performance value of the office equipment in each relevant collaborative record, and calculate the average value to obtain the actual performance average value (X ac ) ave , according to the formula: ； Wherein, z is a positive integer, and z∈(1,r), r is the number of related devices of the office equipment in the real-time collaborative record, Q z is the affinity between the zth related device and the office device; the performance value X of the office device under the wth network is calculated. w ; Step S402: Calculate the performance value of any office equipment in the real-time collaboration record under various types of networks, select a network environment with the largest performance value for each office equipment, and recommend it to the user.

6. A cross-network collaborative office management system, used to execute a cross-network collaborative office management method based on big data as claimed in any one of claims 1 to 5, characterized in that: The management system includes a collaborative record analysis module, an equipment performance evaluation module, a performance impact analysis module and a real-time network recommendation module; The collaborative record analysis module is used to construct a collaborative office management system to record each collaborative office process, extract the network environment of each office device in each collaborative office, and generate a corresponding collaborative record; evaluate the data processing performance of each office device in any collaborative record under the network environment, and obtain the comprehensive performance of the collaborative record; The device performance evaluation module is used to select an office device at random, obtain various related collaboration records in which the office device participates, analyze the performance evaluation conditions between various office devices in any related collaboration record, and obtain the affinity between the office device and other office devices; based on the affinity between the office devices in any related collaboration record, obtain the actual data processing performance of the office device in the related collaboration record; The performance impact analysis module is used to extract characteristic factors that affect the office equipment in different network environments based on the actual data processing performance differences between any related collaborative records of the office equipment; analyze the impact of each characteristic factor on the office equipment in different network environments, and obtain the degree of performance impact of various network environments on the office equipment; The real-time network recommendation module is used to generate a real-time collaboration record when selecting several office devices for collaborative work, analyze the performance changes of any office device in any network environment; based on the affinity between the several office devices, predict the performance of each office device, confirm the network environment of any office device and recommend it to the user.

7. A cross-network collaborative office management system according to claim 6, characterized in that: The collaborative record analysis module includes a collaborative record generation unit and a comprehensive performance evaluation unit; The collaborative record generation unit is used to build a collaborative office management system to record each collaborative office process, extract the network environment of each office device in each collaborative office, and generate a corresponding collaborative record; the comprehensive performance evaluation unit is used to evaluate the data processing performance of each office device in any collaborative record in the network environment in which it is located, and obtain the comprehensive performance of the collaborative record.

8. The cross-network collaborative office management system according to claim 6, characterized in that: The device performance evaluation module includes a device affinity calculation unit and an actual performance calculation unit; The device affinity calculation unit is used to select an office device at random, obtain various related collaboration records in which the office device participates, analyze the performance evaluation between various office devices in any related collaboration record, and obtain the affinity between the office device and other office devices; The actual performance calculation unit is used to obtain the actual data processing performance of the office equipment in any relevant collaborative record based on the affinity between the office equipment in the relevant collaborative record.

9. A cross-network collaborative office management system according to claim 6, characterized in that: The performance impact analysis module includes a characteristic factor extraction unit and an impact degree calculation unit; The characteristic factor extraction unit is used to extract the characteristic factors that affect the office equipment in different network environments based on the actual data processing performance differences of the office equipment between any related collaborative records; the impact degree calculation unit is used to analyze the impact of each characteristic factor on the office equipment in different network environments, and obtain the performance impact of various network environments on the office equipment.

10. A cross-network collaborative office management system according to claim 6, characterized in that: The real-time network recommendation module includes a real-time data analysis unit and a network performance analysis unit; The real-time data analysis unit is used to generate a real-time collaboration record when selecting several office devices for collaborative work, and analyze the performance changes of any office device in any network environment; the network performance analysis unit is used to predict the performance of each office device based on the affinity between the several office devices, confirm the network environment of any office device and make recommendations to users.

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