CN116562814A - Intelligent office information pushing system and method based on big data - Google Patents
Intelligent office information pushing system and method based on big data Download PDFInfo
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Abstract
The invention discloses a smart office information pushing system and a smart office information pushing method based on big data, which relate to the technical field of information pushing, and are used for acquiring identity information and pushing preference of workers, establishing a worker information set after summarizing, and respectively generating resident worker evaluation values and resident worker coefficients according to whether the workers are resident workers or not; dividing gears for workers according to the relationship between resident worker evaluation values and non-resident worker coefficients and corresponding thresholds, and according to different generated gears; according to the selected pushing strategy, the notification information is orderly sent to the staff in combination with the pushing preference of the staff; and in a preset period, counting the average time for confirming the received notification information by the staff, and correcting the pushing preference of the staff according to the length of the confirmation time. Through judging the push priority of the staff, the sending and the obtaining of the notification information can be orderly carried out, omission can not be generated due to blockage, and the orderly development of work is ensured.
Description
Technical Field
The invention relates to the technical field of information push, in particular to an intelligent office information push system and method based on big data.
Background
The office automation system is characterized in that modern technologies such as computers, communication and the like are applied to traditional offices, and modern equipment and informatization technologies are utilized to replace traditional partial manual or repeated business activities of office workers, so that office transactions and business information are processed high-quality and high-efficiency, the high-efficiency utilization of information resources is realized, and the working efficiency and quality are improved to the greatest extent.
However, in the operation process, enterprises can generate a large amount of notification information, and the notification information comprises business adjustment information, performance notification information, personnel free information, business bulletin information and the like, and the notification information is usually distributed unordered, and after distribution or pushing, a confirmation step is absent, so that the normal state can be maintained when the notification information is less, and when the notification information is too much, confusion can be generated, and office efficiency is reduced.
Therefore, the invention provides a smart office information pushing system and method based on big data.
Disclosure of Invention
(one) solving the technical problems
Aiming at the defects of the prior art, the invention provides a big data-based intelligent office information pushing system and method, which are characterized in that through acquiring the identity information and pushing preference of workers, a worker information set is established after summarization, and a resident worker evaluation value and a resident worker coefficient are respectively generated according to whether the workers are resident workers; dividing gears for workers according to the relationship between resident worker evaluation values and non-resident worker coefficients and corresponding thresholds, and according to different generated gears; according to the selected pushing strategy, the notification information is orderly sent to the staff in combination with the pushing preference of the staff; and in a preset period, counting the average time for confirming the received notification information by the staff, and correcting the pushing preference of the staff according to the length of the confirmation time. Through judging the push priority of the staff, the sending and the obtaining of the notification information can be orderly carried out, omission can not be generated due to blockage, and the orderly development of the work is ensured, so that the problem in the background technology is solved.
(II) technical scheme
In order to achieve the above purpose, the invention is realized by the following technical scheme:
the intelligent office information pushing system based on big data comprises a data acquisition unit, a data processing unit, a control unit, a pushing unit, a feedback unit and a correction unit, wherein after workers enter an office area and identify the identities of the workers, the data acquisition unit acquires the identity information and pushing preference of the workers, a worker information set is built after summarization, the worker information set is sent to the data processing unit, and a resident worker evaluation value Zz and a resident worker coefficient Fs are respectively generated by the data processing unit according to whether the workers are resident workers or not; dividing gears for workers according to the relation between resident worker evaluation values Zz and non-resident worker coefficients Fs and corresponding thresholds, and forming control instructions by a control unit according to different generated gears, so that a pushing unit sequentially sends notification information to the workers according to selected pushing strategies and pushing preference of the workers; and counting the average time for confirming the received notification information by the staff in a preset period, and correcting the pushing preference of the staff by the correction unit according to the length of the confirmation time.
Further, the data acquisition unit comprises an identity recognition module, a preference acquisition module and a video recognition module, wherein when the office area is in a working time period, the video recognition module acquires and acquires the frequency of different workers entering the office area, and records the frequency as the working frequency, if the frequency of entering the office area is higher than a frequency threshold value in a preset period, the corresponding worker is determined to be a resident worker, and if the frequency of entering the office area is lower than the frequency threshold value, the corresponding worker is determined to be a very resident worker; identifying the identity information of all employees through the identity identification module, wherein the identity information comprises: name, job position, department profit ratio, working years and post salary, and building a staff information set after summarizing; when the staff receives the notification information, the push preference of the staff is taken as the push preference of the staff in the fastest confirming mode, and the push preference of each staff is collected by the preference collection module.
Further, the data processing unit comprises an evaluation module, a threshold module, a sorting module and a marking module, wherein the employee information set is sent to the evaluation module, the evaluation module obtains a department profit ratio Br, a working year Gn and a post salary Gx in the employee information set, and after dimensionless processing, a resident employee evaluation value Zz is generated, wherein the resident employee evaluation value Zz is generated according to the following mode:
wherein, the parameter meaning is: f is more than or equal to 0.48 1 ≤0.90，0.58≤F 2 ≤1.32，0.58≤F 3 And C is a constant correction coefficient which is less than or equal to 3.12.
Further, a first threshold value and a second threshold value are set by the threshold value module, the first threshold value is larger than the second threshold value, and resident workers are divided into different gears according to the relation between the resident worker evaluation value Zz and the threshold value; when the resident staff evaluation value Zz is larger than a first threshold value, corresponding resident staff is identified as a first gear, when the resident staff evaluation value Zz is between the first threshold value and a second threshold value, corresponding resident staff is identified as a second gear, and when the resident staff evaluation value Zz is lower than the second threshold value, corresponding resident staff is identified as a third gear; after the gear information of each resident employee is obtained, the resident employees in each gear are ordered by the ordering module according to the post salary Gx of each resident employee, and the generated ordering is used as a first pushing priority.
Further, if the frequency of the resident staff entering the office area is obtained in the preset period, determining the frequency as the resident frequency Rp, and meanwhile, obtaining the confirmation time Hs of the resident staff confirmation notification information; the method comprises the steps of obtaining the resident frequency Rp and the confirmation time Hs by an evaluation module, generating a resident employee coefficient Fs after dimensionless processing, wherein the generation mode of the resident employee coefficient Fs is as follows:
wherein, alpha is more than or equal to 0 and less than or equal to 1, beta is more than or equal to 0 and less than or equal to 1, alpha+beta is 1, alpha and beta are weights, the specific values of the weights are adjusted and set by a user, and D is a constant correction coefficient; and marking the resident workers as fourth gears by using a marking module, and ordering a plurality of resident worker coefficients Fs by an ordering module to generate a second push priority.
Further, after the notification information is generated, the number of workers needing to receive the notification information is judged, when the number of workers needing to receive the notification information is smaller than a quantity threshold, the video recognition module recognizes and judges whether the corresponding workers are in an office area, if the corresponding workers are in the office area, the push unit sequentially combines the push preference of the workers to send the notification information when the corresponding workers generate the notification information, and if the corresponding workers are not in the office area, the push unit sequentially sends the notification information according to the selected push strategy when the corresponding workers generate the notification information.
Further, after the notification information is generated, judging the number of workers needing to receive the notification information, when the number of workers needing to receive the notification information is not smaller than a number threshold, identifying and judging whether the corresponding workers are in an office area by a video identification module, if so, acquiring the gear of each worker receiving the notification information, and for resident workers with non-fourth gears, sending the notification information to the resident workers in sequence according to the push preference of the resident workers according to the first push priority corresponding to each gear; the priority of sending the notification information is as follows: the first gear is prioritized over the second gear, and the second gear is prioritized over the third gear.
Further, when the resident employee is not in the office area, the selected push strategy for sending notification information to the resident employee is as follows: if the resident staff member is the first gear staff member, the push unit carries out telephone notification to the first gear staff member; if the resident staff member is the second gear staff member, the pushing unit sends out notification information according to the pushing preference of the staff member, and telephone confirmation is carried out when the resident staff member is not confirmed to be received within a preset time, for example, within ten minutes; if the resident staff member is the third gear position, the pushing unit sends out notification information according to the pushing preference of the staff member.
Further, when the worker to be notified is a resident worker in the fourth gear, according to the second pushing priority, the notification information is sent to the worker in combination with the pushing preference of the resident worker, and in the preset time, the pushing unit performs phone confirmation to the undetermined worker in the fourth gear.
An intelligent office information pushing method based on big data includes the steps that after workers enter an office area and identify the identities of the workers, identity information and pushing preference of the workers are obtained, a worker information set is built after summarization, and a resident worker evaluation value Zz and a resident worker coefficient Fs are respectively generated according to whether the workers are resident workers or not;
dividing gears for workers according to the relation between resident worker evaluation values Zz and non-resident worker coefficients Fs and corresponding thresholds, and according to different generated gears;
according to the selected pushing strategy, the notification information is orderly sent to the staff in combination with the pushing preference of the staff;
and in a preset period, counting the average time for confirming the received notification information by the staff, and correcting the pushing preference of the staff according to the length of the confirmation time.
(III) beneficial effects
The invention provides a big data-based intelligent office information pushing system and method, which have the following beneficial effects:
1. by judging and generating the resident staff and the resident staff, the resident staff coefficient Fs and the resident staff evaluation value Zz are generated, whether the staff is an important staff or not can be judged, all the staff are evaluated and screened, and after the importance of all the staff is judged, the work tasks are arranged in a targeted mode.
2. When the work information needs to be pushed to the staff, a targeted pushing strategy can be selected, after the pushing preference of the staff is determined, the confirmation receiving efficiency of the notification information can be improved, and a further safety guarantee is formed for pushing the notification information through a telephone confirmation step.
3. By judging the push priority of the staff, when the notification information needs to be sent, the sending and the acquisition of the notification information can be orderly carried out, and omission can not be generated due to blockage, so that all the staff can timely receive the corresponding notification information, and the orderly development of work is ensured.
Drawings
FIG. 1 is a schematic diagram of an intelligent office information push system according to the present invention;
in the figure: 10. a data acquisition unit; 11. an identity recognition module; 12. a preference acquisition module; 13. a video identification module; 20. a data processing unit; 21. an evaluation module; 22. a threshold module; 23. a sequencing module; 24. a marking module; 30. a control unit; 40. a pushing unit; 50. and a correction unit.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
Referring to fig. 1, the present invention provides a big data-based intelligent office information pushing system, which includes a data acquisition unit 10, a data processing unit 20, a control unit 30, a pushing unit 40, and a correction unit 50, wherein,
after a worker enters an office area and recognizes the identity of the worker, acquiring the identity information and pushing preference of the worker by the data acquisition unit 10, establishing a worker information set after summarizing, and transmitting the worker information set to the data processing unit 20, wherein the data processing unit 20 respectively generates a resident worker evaluation value Zz and a resident worker coefficient Fs according to whether the worker is a resident worker;
dividing the staff into gears according to the relation between the resident staff evaluation value Zz and the resident staff coefficient Fs and the corresponding threshold value, and forming control instructions by the control unit 30 according to the generated different gears, so that the pushing unit 40 sequentially sends notification information to the staff according to the selected pushing strategy and the pushing preference of the staff;
and the average time for confirming the received notification information by the staff member is counted in a preset period, for example, in one week, and the push preference of the staff member is corrected by the correction unit 50 according to the confirmation time. For example, if the original mail confirmation time is ten minutes and the present mail confirmation time is fifteen minutes, the mail notification information is replaced with the short message notification information.
Referring to fig. 1, the data acquisition unit 10 includes an identity recognition module 11, a preference acquisition module 12, and a video recognition module 13, wherein,
when the office area is in the working time period, the video recognition module 13 collects and acquires the frequency of different workers entering the office area, records the frequency as the working frequency, and if the frequency of entering the office area is higher than the frequency threshold value in a preset period, such as one week, the corresponding worker is determined to be a resident worker, and if the frequency is lower than the frequency threshold value, the corresponding worker is determined to be a very resident worker;
the identity information of all employees is identified by the identity identification module 11, including: name, job position, department profit ratio, working years and post salary, and building a staff information set after summarizing; the profit ratio of the profit of the department where the staff is located to the total profit of the company is used as the profit ratio of the department;
when a worker receives notification information, for example, when the notification information is a mobile phone call, a short message, instant messaging software or mail, if the confirmation time is the fastest, the notification information is used as the push preference of the worker in the fastest confirmation mode, and the preference acquisition module 12 acquires the push preference of each worker.
When the system is used, the staff is divided into resident staff and resident staff according to the frequency of the staff entering the office area, a targeted selection pushing strategy can be selected when the work information needs to be pushed to the staff, and the efficiency of confirming and receiving the notification information is improved after the pushing preference of the staff is confirmed.
Referring to fig. 1, the data processing unit 20 includes an evaluation module 21, a threshold module 22, a sorting module 23, and a marking module 24, wherein,
the staff information set is sent to an evaluation module 21, the evaluation module 21 obtains a department profit ratio Br, a working year Gn and post salary Gx in the staff information set, and after dimensionless processing, a resident staff evaluation value Zz is generated, wherein the resident staff evaluation value Zz is generated according to the following mode:
wherein, the parameter meaning is: f is more than or equal to 0.48 1 ≤0.90，0.58≤F 2 ≤1.32，1.58≤F 3 And C is a constant correction coefficient which is less than or equal to 3.12.
It should be noted that, a person skilled in the art collects multiple sets of sample data and sets a corresponding preset scaling factor for each set of sample data; substituting the preset proportionality coefficient and the collected sample data into a formula, forming a ternary once equation set by any three formulas, screening the coefficient obtained by calculation, and taking an average value to obtain F 1 、F 2 、F 3 Is a value of (2);
the size of the coefficient is a specific numerical value obtained by quantizing each parameter, so that the subsequent comparison is convenient, and the size of the coefficient depends on the number of sample data and the corresponding preset proportional coefficient is preliminarily set for each group of sample data by a person skilled in the art; as long as the proportional relation between the parameter and the quantized value is not affected.
And the threshold module 22 sets a first threshold and a second threshold, and makes the first threshold larger than the second threshold, and divides the resident staff into different gears according to the relationship between the resident staff evaluation value Zz and the threshold.
When the resident employee evaluation value Zz is greater than the first threshold, the corresponding resident employee is identified as a first gear, when the resident employee evaluation value Zz is between the first threshold and the second threshold, the corresponding resident employee is identified as a second gear, and when the resident employee evaluation value Zz is lower than the second threshold, the corresponding resident employee is identified as a third gear.
After the gear information of each resident employee is acquired, the resident employees in each gear are ordered by the ordering module 23 according to the post salary Gx of each resident employee, so that the generated ordering is used as the first push priority.
When the method is used, after the resident employee evaluation value Zz is generated, resident employees are divided into different gears, different pushing strategies can be adopted according to the different gears, so that important notification information cannot be missed, and meanwhile, through the generated first pushing priority, when the notification information is more, the notification information can be orderly pushed to the resident employees.
Referring to fig. 1, if a frequency of a resident employee entering an office area is acquired within a preset period, for example, within one week, the frequency is determined as a resident frequency Rp, and at the same time, a confirmation time Hs of the resident employee confirmation notification information is acquired;
the evaluation module 21 acquires the resident frequency Rp and the confirmation time Hs, and generates the resident employee coefficient Fs after dimensionless processing, wherein the generation mode of the resident employee coefficient Fs is as follows:
wherein, alpha is more than or equal to 0 and less than or equal to 1, beta is more than or equal to 0 and less than or equal to 1, alpha+beta is 1, alpha and beta are weights, the specific values of the weights are adjusted and set by a user, and D is a constant correction coefficient; the resident employee is marked as fourth gear using marking module 24 and the number of resident employee coefficients Fs are ordered by ordering module 23 to generate a second push priority.
When the system is used, the resident workers are determined to be the fourth gear, the second pushing priority is generated through the resident worker coefficient Fs, and when notification information is pushed to the resident workers, if the number of people needing pushing is large, the pushing can be orderly carried out.
Referring to fig. 1, after generating notification information, determining the number of workers to receive the notification information, when the number of workers to receive the notification information is smaller than a number threshold, identifying and determining whether the corresponding workers are in an office area by the video identifying module 13, if the corresponding workers are in the office area, causing the pushing unit 40 to sequentially send the notification information according to the pushing preference of the workers at the time of generating the notification information, and if the corresponding workers are not in the office area, causing the pushing unit 40 to sequentially send the notification information according to the selected pushing strategy at the time of generating the notification information;
when the notification information is generated, judging the number of workers needing to receive the notification information, when the number of workers needing to receive the notification information is not less than a quantity threshold, identifying and judging whether the corresponding workers are in an office area by a video identification module 13, if so, acquiring the gear of each worker receiving the notification information, and for resident workers with non-fourth gears, sending the notification information to the resident workers in sequence according to the push preference of the resident workers according to the first push priority corresponding to each gear; the priority of sending the notification information is as follows: the first gear is prioritized over the second gear, and the second gear is prioritized over the third gear.
When the notification information is generated, the number of workers needing to receive the notification information is judged to be more, then whether the corresponding workers are in an office area or not and the gears of the workers are judged, and finally the push priority of the workers is judged, so that when the notification information needs to be sent, the sending and the obtaining of the notification information can be orderly carried out, omission can not be generated due to blockage, all the workers can timely receive the corresponding notification information, and the orderly development of the work is ensured.
Referring to fig. 1, when a resident employee is not in an office area, a selected push policy for issuing notification information to the resident employee is as follows:
when the resident staff member is the first gear staff member, the push unit 40 carries out telephone notification to the first gear staff member; if the resident employee is the second gear employee, the pushing unit 40 sends out notification information according to the pushing preference of the employee, and performs phone confirmation when the resident employee is not confirmed to be received within a preset time, for example, ten minutes; if the resident employee is the third gear, the push unit 40 sends out notification information according to the push preference of the employee.
Referring to fig. 1, when the worker to receive the notification information is an inactive worker in the fourth gear, the notification information is sent to the worker in accordance with the second push priority in conjunction with the push preference of the inactive worker, and when the reception is not confirmed within a preset time, for example, ten minutes, the push unit 40 makes a telephone confirmation to the undetermined worker in the fourth gear.
When the method is used, after a pushing strategy is selected, for a worker with a higher gear, for example, a first gear worker, after the notification information is pushed to the first gear worker, the phone confirmation is continued, so that after the important notification information is sent out, further guarantee can be formed for the notification information sending through a phone confirmation step.
The above contents are combined:
by judging and generating the resident staff and the resident staff, the resident staff coefficient Fs and the resident staff evaluation value Zz are generated, whether the staff is an important staff or not can be judged, all the staff are evaluated and screened, and after the importance of all the staff is judged, the work tasks are arranged in a targeted mode.
When the work information needs to be pushed to the staff, a targeted pushing strategy can be selected, after the pushing preference of the staff is determined, the confirmation receiving efficiency of the notification information can be improved, and a further safety guarantee is formed for pushing the notification information through a telephone confirmation step.
By judging the push priority of the staff, when the notification information needs to be sent, the sending and the acquisition of the notification information can be orderly carried out, and omission can not be generated due to blockage, so that all the staff can timely receive the corresponding notification information, and the orderly development of work is ensured.
Referring to fig. 1, the present invention provides a smart office information pushing method based on big data, comprising:
after a worker enters an office area and recognizes the identity of the worker, acquiring the identity information and pushing preference of the worker, building a worker information set after summarizing, and respectively generating a resident worker evaluation value Zz and a resident worker coefficient Fs according to whether the worker is a resident worker;
dividing gears for workers according to the relation between resident worker evaluation values Zz and non-resident worker coefficients Fs and corresponding thresholds, and according to different generated gears;
according to the selected pushing strategy, the notification information is orderly sent to the staff in combination with the pushing preference of the staff;
and in a preset period, counting the average time for confirming the received notification information by the staff, and correcting the pushing preference of the staff according to the length of the confirmation time.
The above embodiments may be implemented in whole or in part by software, hardware, firmware, or any other combination. When implemented in software, the above-described embodiments may be implemented in whole or in part in the form of a computer program product. Those of ordinary skill in the art will appreciate that the various illustrative elements and algorithm steps described in connection with the embodiments disclosed herein may be implemented as electronic hardware, or combinations of computer software and electronic hardware. Whether such functionality is implemented as hardware or software depends upon the particular application and design constraints imposed on the solution.
The units described as separate units may or may not be physically separate, and units shown as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.
The foregoing is merely specific embodiments of the present application, but the scope of the present application is not limited thereto, and any person skilled in the art can easily think about changes or substitutions within the technical scope of the present application, and the changes and substitutions are intended to be covered by the scope of the present application.
Claims (9)
1. An intelligent office information push system based on big data is characterized in that: the system comprises a data acquisition unit (10), a data processing unit (20), a control unit (30), a pushing unit (40), a feedback unit (50) and a correction unit (50), wherein after workers enter an office area and identify the identities of the workers, the data acquisition unit (10) acquires the identity information and pushing preference of the workers, a worker information set is built after summarization, the worker information set is sent to the data processing unit (20), and a resident worker evaluation value Zz and a resident worker coefficient Fs are respectively generated by the data processing unit (20) according to whether the workers are resident workers or not;
dividing gears for workers according to the relation between resident worker evaluation values Zz and non-resident worker coefficients Fs and corresponding thresholds, and forming control instructions by a control unit (30) according to different generated gears, so that a pushing unit (40) sequentially sends notification information to the workers according to the selected pushing strategy and the pushing preference of the workers;
in a preset period, counting the average time for confirming the received notification information by the staff, and correcting the pushing preference of the staff by a correction unit (50) according to the length of the confirmation time;
the data processing unit (20) comprises an evaluation module (21), a threshold module (22), a sequencing module (23) and a marking module (24), wherein,
the method comprises the steps of sending a worker information set to an evaluation module (21), and obtaining a department profit ratio Br, a working life Gn and post salary Gx in the worker information set by the evaluation module (21), and generating a resident worker evaluation value Zz after dimensionless processing, wherein the resident worker evaluation value Zz is generated according to the following mode:
wherein, the parameter meaning is: f is more than or equal to 0.48 1 ≤0.90，0.58≤F 2 ≤1.32，1.58≤F 3 And C is a constant correction coefficient which is less than or equal to 3.12.
2. The big data based intelligent office information push system of claim 1, wherein: the data acquisition unit (10) comprises an identity recognition module (11), a preference acquisition module (12) and a video recognition module (13), wherein when an office area is in a working time period, the video recognition module (13) acquires and acquires the frequency of different workers entering the office area, the frequency is recorded as the working frequency, if the frequency entering the office area is higher than a frequency threshold value in a preset period, the corresponding worker is determined to be a resident worker, and if the frequency entering the office area is lower than the frequency threshold value, the corresponding worker is determined to be a very resident worker;
identifying identity information of all workers through an identity identification module (11), wherein the identity information comprises: name, job position, department profit ratio, working years and post salary, and building a staff information set after summarizing; when a worker receives notification information, the push preference of each worker is collected by a preference collection module (12) in a manner of confirming the fastest push preference of the worker.
3. The big data based intelligent office information push system of claim 1, wherein: a first threshold value and a second threshold value are set by a threshold value module (22), the first threshold value is larger than the second threshold value, and resident workers are divided into different gears according to the relation between resident worker evaluation values Zz and the threshold values; when the resident staff evaluation value Zz is larger than a first threshold value, corresponding resident staff is identified as a first gear, when the resident staff evaluation value Zz is between the first threshold value and a second threshold value, corresponding resident staff is identified as a second gear, and when the resident staff evaluation value Zz is lower than the second threshold value, corresponding resident staff is identified as a third gear; after the gear information of each resident employee is acquired, the resident employees in each gear are ordered by the ordering module (23) according to the post salary Gx of each resident employee, and the generated ordering is used as a first pushing priority.
4. The big data based intelligent office information push system of claim 1, wherein: if the frequency of the resident staff entering the office area is obtained in the preset period, determining the frequency as the resident frequency Rp, and meanwhile, obtaining the confirmation time Hs of the resident staff confirmation notification information; the method comprises the steps that an evaluation module (21) acquires the resident frequency Rp and the confirmation time Hs, dimensionless processing is carried out, and then a resident employee coefficient Fs is generated, wherein the generation mode of the resident employee coefficient Fs is as follows:
wherein, alpha is more than or equal to 0 and less than or equal to 1, beta is more than or equal to 0 and less than or equal to 1, alpha+beta is 1, alpha and beta are weights, the specific values of the weights are adjusted and set by a user, and D is a constant correction coefficient; the marking module (24) is used for marking the resident workers as a fourth gear, and the ordering module (23) is used for ordering a plurality of resident worker coefficients Fs to generate a second push priority.
5. The big data based intelligent office information push system of claim 1, wherein: when the notification information is generated, the number of workers needing to receive the notification information is judged, when the number of workers needing to receive the notification information is smaller than a quantity threshold value, a video recognition module (13) recognizes and judges whether corresponding workers are in an office area, if the corresponding workers are in the office area, a pushing unit (40) is enabled to send the notification information by combining the pushing preference of the workers in sequence, and if the corresponding workers are not in the office area, the pushing unit (40) is enabled to send the notification information by sequentially according to the selected pushing strategy.
6. The big data based intelligent office information push system of claim 1, wherein: when the notification information is generated, judging the number of workers needing to receive the notification information, when the number of workers needing to receive the notification information is not less than a quantity threshold, identifying and judging whether the corresponding workers are in an office area by a video identification module (13), if so, acquiring the gear of each worker receiving the notification information, and for resident workers with non-fourth gears, sending the notification information to the resident workers in sequence according to the push preference of the resident workers according to the first push priority corresponding to each gear; the priority of sending the notification information is as follows: the first gear is prioritized over the second gear, and the second gear is prioritized over the third gear.
7. The big data based intelligent office information push system of claim 1, wherein: when the resident employee is not in the office area, the selected push strategy for sending notification information to the resident employee is as follows:
if the resident staff member is the first gear staff member, the push unit (40) carries out telephone notification to the first gear staff member; if the resident staff member is the second gear staff member, the push unit (40) sends out notification information according to the push preference of the staff member, and telephone confirmation is carried out when the resident staff member is not confirmed to be received within a preset time, for example, within ten minutes; if the resident employee is the third gear, the push unit (40) sends out notification information according to the push preference of the employee.
8. The big data based intelligent office information push system of claim 1, wherein: when the worker to be notified is a resident worker in the fourth gear, the notification information is sent to the worker according to the second push priority in combination with the push preference of the resident worker, and in the preset time, the push unit (40) performs phone confirmation to the undetermined worker in the fourth gear.
9. A big data-based intelligent office information pushing method is characterized by comprising the following steps of: comprising the following steps:
after a worker enters an office area and recognizes the identity of the worker, acquiring the identity information and pushing preference of the worker, building a worker information set after summarizing, and respectively generating a resident worker evaluation value Zz and a resident worker coefficient Fs according to whether the worker is a resident worker; dividing gears for workers according to the relation between resident worker evaluation values Zz and non-resident worker coefficients Fs and corresponding thresholds, and according to different generated gears; according to the selected pushing strategy, the notification information is orderly sent to the staff in combination with the pushing preference of the staff; and in a preset period, counting the average time for confirming the received notification information by the staff, and correcting the pushing preference of the staff according to the length of the confirmation time.
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