Device and method for verifying contract performance for building cleaning management

Abstract

The present invention relates to a facility management performance evaluation device and method (device and method for verifying contract fulfillment of building cleaning management), wherein the facility management performance evaluation device may include: an acquisition unit for acquiring work log data of a worker at a facility under management; a judgment unit for determining whether there are abnormal signs by comparing the worker's residence time calculated by analyzing the work log data with the corresponding standard time corresponding to the work log data in the database unit; and a performance evaluation unit for evaluating the facility management performance of a worker for a facility under management based on the result of the judgment.

Description

Technology Field

[0001] The present invention relates to a device and method for evaluating facility management performance. In particular, the present invention relates to a device and method for evaluating facility management performance (i.e., a device and method for verifying contract performance of building cleaning management) capable of performing quantitative performance evaluation (contract fulfillment verification) of facility management tasks, such as building cleaning and security (patrol), through real-time comparative analysis with a database (particularly a heterogeneous and contextual dynamic standard time database), and providing a data processing method. Background Technology

[0002] <A. Limitations of Existing Technology>

[0003] 1) Limitations of simple patrol-based systems (NFC check-in)

[0004] Existing patrol systems only record the time of passage ($t_1$) at a specific point ($P_1$). This only verifies whether an arrival has occurred (Check), but fails to measure the ‘work density’ regarding how long a worker stayed in the area (Duration) and what was done (Density). In other words, conventional patrol systems operate using a simple check-in method that records the time when a worker passes through a specific area. However, since this method only records the time of a specific point in time, it is impossible to know how long the worker stayed in the area or at what work density they performed during their stay, resulting in a structure that cannot evaluate the quality of work (Work Density).

[0005] 2) Limitations of Existing Facility Management ERP (FM-ERP)

[0006] Existing ERP systems focus on 'resource allocation' and 'work orders.' For example, they assign a task such as "cleaning the 3rd floor restroom" and merely receive a report of "completion (Y / N)," but lack the function to "quantitatively verify" whether the task was performed faithfully for the "contracted standard (e.g., 15 minutes)." In other words, existing ERP systems are designed around work orders and resource allocation, and they remain limited to reporting results such as "cleaning the 3rd floor restroom completed (Y / N)," failing to provide any function to quantitatively verify whether the work was performed faithfully for the contracted standard time (e.g., 15 minutes).

[0007] B. Structural Problems in the Field (Subjective Management)

[0008] 1) Contradiction between 'contracts per square meter' and 'personnel management': Traditionally, contracts are made on an 'area' basis, but quality evaluation is based on the manager's 'estimation (subjectivity)' and 'number of personnel input'.

[0009] 2) Occurrence of cumulative contamination: The service provider ('Party B') takes advantage of the lack of quality verification means to reduce manpower and clean up only the 'garbage right in front of them'. This leads directly to 'cumulative contamination', which lowers the asset value of the building and acts as a factor that deteriorates the usage environment.

[0010] In other words, an examination of the structural problems in on-site management reveals that it largely relies on subjectivity. While contracts are concluded based on area (square footage), the actual evaluation of quality depends on the manager's subjective judgment and the number of personnel deployed. Consequently, practices such as minimizing manpower and performing short-term tasks that only address immediate contaminants are repeated, leading to accumulated contamination, environmental degradation, and a decline in building asset value.

[0011] <C. Necessity of the Present Invention (Historical and Legal Justification)>

[0012] 1) Legal Necessity (Yellow Envelope Law and Risk of Illegal Dispatch)

[0013] The implementation of the 'Yellow Envelope Law (amendment to the Trade Union Act)' increases the possibility of legal disputes between workers belonging to 'A' (the prime contractor) and 'B' (the service provider). If 'A' (the prime contractor) gives direct work instructions (e.g., "Clean again") to workers belonging to 'B' (the service provider), there is a serious legal risk that this will be considered 'illegal dispatch (disguised subcontracting).' Therefore, instead of 'A' or 'C' (the supervisor) designated by 'A' giving 'direct command / orders' to 'B's' personnel, there is an absolute need for a legal and objective means of verification to confirm whether the 'contracted tasks (e.g., 500 man-hours per month)' have been performed according to objective data. Accordingly, the present invention aims to provide such a means of verification.

[0014] In other words, due to the implementation of the "Yellow Envelope Law" (amendment to the Trade Union Act), the legal risk of a prime contractor being deemed to engage in illegal dispatch (disguised subcontracting) when issuing direct work instructions to employees of a service provider has increased. Consequently, prime contractors or supervisors now face an absolute need for third-party data-based means to verify the objective fulfillment of contracted performance metrics (man-hours, standard time), instead of issuing direct orders.

[0015] 2) Lack of a DX (Digital Transformation) foundation in the cleaning industry

[0016] The prerequisite for all DX and robot adoption is 'standardization' and 'datafication'. Without 'standards', neither automation nor optimization is possible. In other words, although tasks such as cleaning and patrolling are major areas for DX / robot automation adoption, there has traditionally been a problem where automation and optimization are difficult due to the lack of basic data infrastructure, such as standardized time criteria, distinction between work and movement, and context-based criteria.

[0017] Accordingly, the present invention manages tasks such as cleaning by separating them into 'Task' and 'Route', and each 'Standard Time (T stdBy defining )', we aim to build and provide a basic data infrastructure for DX where robots (Route 담당) and humans (Task 담당) collaborate in the future.

[0018] 3) Absence of means to 'prove function' in the era of super-aging

[0019] Currently, elderly workers in cleaning sites are being undervalued due to the prejudice associated with their age.

[0020] Accordingly, the present invention aims to provide a means to objectively prove 'skilled ability' rather than 'age' by excluding the subjective prejudice that "one cannot work because of old age" and providing objective evaluation data regarding the worker (e.g., "Worker Kim OO, 72 years old, standard time compliance rate 98%)." This invention can provide basic data that enables even workers over the age of 70 to receive fair treatment as skilled workers and work, thereby contributing to helping the virtuous cycle of the labor market.

[0021] The technology forming the background of the present invention is disclosed in Korean Published Patent Application No. 10-2019-0067081. The problem to be solved

[0022] The present invention aims to solve the problems of the aforementioned prior art by providing a facility management performance evaluation device and method capable of accurately measuring and evaluating the absolute time (△t) that a worker actually spent in the area, rather than simply providing time information indicating "arrival (t1)."

[0023] Conventional technology applies standard time only as a fixed value, but the present invention aims to provide a facility management performance evaluation device and method that enables sophisticated performance evaluation reflecting the actual field (i.e., quantitative evaluation reflecting different standard work times by zone / situation) by providing a structure in which standard time / SOP / Quality Standard (QS) changes dynamically according to context such as the cycle (1st cycle morning setup / 2nd and 3rd cycle maintenance), day / time zone, and work attributes (Task / Route).

[0024] The present invention aims to provide an objective performance evaluation means free from subjectivity, and in particular, to provide a facility management performance evaluation device and method capable of implementing a scientific management approach in which the manager's subjective judgment is not involved by automatically calculating the worker's diligence, work density, omissions, etc., through absolute dwell time, ratio relative to standard time, and evaluation logic by task / route.

[0025] The present invention aims to provide 'contract inspection data' for eliminating the risk of illegal dispatch, and in particular, to provide a facility management performance evaluation device and method that can provide a legitimate contract inspection structure by enabling verification of whether the total contracted work hours (e.g., 500 man-hours per month) have actually been performed using total data of stay times (i.e., total stay times) automatically calculated by a server, without the prime contractor directly instructing the workers.

[0026] The present invention aims to secure data based on DX and robot collaboration in the cleaning industry, and in particular, to provide a facility management performance evaluation device and method capable of providing basic data for a robot-human collaboration model in which a robot takes charge of the route and a human performs the task by separating the task and the route to define and record standard time.

[0027] However, the technical problems that the embodiments of the present invention aim to solve are not limited to the technical problems described above, and other technical problems may exist. means of solving the problem

[0028] As a technical means for achieving the above-mentioned technical task, a facility management performance evaluation device according to one embodiment of the present invention may include: an acquisition unit for acquiring work log data of a worker in a facility under management; a judgment unit for determining whether there are abnormal signs by comparing the worker's residence time calculated by analyzing the work log data with the corresponding standard time corresponding to the work log data in the database unit; and a performance evaluation unit for evaluating the facility management performance of a worker for a facility under management based on the result of the judgment.

[0029] In addition, the above acquisition unit can acquire the above work log data in response to the recognition of a worker terminal of a location identifier installed in each zone within the managed facility.

[0030] In addition, the above judgment unit can calculate the dwell time, which is the time the worker stayed in the area they entered or exited by calculating the difference time between the exit time and the entry time within the above work log data.

[0031] In addition, a facility management performance evaluation device according to one embodiment of the present invention may further include a construction unit that constructs the database unit containing standard times for each zone within a facility under management. The database unit may store dynamic standard times for each situation in which different standard times are mapped according to a context that includes at least one of a rotation, time zone, and day of the week, even if they are the same zone.

[0032] In addition, the judgment unit may call the matching area detailed setting information that matches the identification data identified through the analysis of the business log data among the area-specific area detailed setting information already stored in the database unit, and derive the corresponding standard time based on the called matching area detailed setting information. That is, the judgment unit may identify the heterogeneous dependency type (Task or Route) and current situation information of the area where the worker is located from the business log data, call the standard time that matches all of the identified area, heterogeneous dependency type, and current situation information from the database unit as the corresponding standard time, compare it with the dwell time, and determine whether there is an abnormal situation through the comparison.

[0033] In addition, when determining whether there is an abnormal sign, the judgment unit may make a judgment by considering the type of heterogeneity of the work in the area corresponding to the work log data. In particular, when the type of heterogeneity of the work in the area corresponding to the work log data is a task, the judgment unit may determine that it is an abnormal sign of work neglect if the dwell time is shorter than the standard response time, and when the type of heterogeneity of the area corresponding to the work log data is a route, the judgment unit may determine that it is an abnormal sign of work neglect if the dwell time is longer than the standard response time.

[0034] In addition, the performance evaluation department can calculate the total time spent by a worker during a predetermined period based on the worker's work log data obtained during a predetermined period, and verify whether the contracted task has been performed by comparing the total time spent with the standard man-hours specified in the worker's contract or the target man-hours set by the manager.

[0035] Meanwhile, a method for evaluating facility management performance using a facility management performance evaluation device according to one embodiment of the present invention may include: a step of acquiring work log data of a worker at a facility under management in an acquisition unit; a step of determining whether there is an abnormal sign in a judgment unit by comparing the worker's residence time calculated by analyzing the work log data with the corresponding standard time corresponding to the work log data in a database unit; and a step of evaluating the facility management performance of a worker for a facility under management based on the result of the judgment in a performance evaluation unit.

[0036] The above-described means for solving the problem are merely exemplary and should not be interpreted as intended to limit the invention. In addition to the exemplary embodiments described above, additional embodiments may exist in the drawings and the detailed description of the invention. Effects of the invention

[0037] According to the means for solving the problem of the present invention described above, the present invention provides a facility management performance evaluation device and method, thereby enabling quantitative / scientific quality control, and in particular, the actual stay time (△t) of a worker is used as a situational standard time (T std It is possible to provide objective indicators of the diligence and density of work (tasks) compared to ), thereby overcoming the limitations of existing subjective management methods and ensuring transparency in quality management.

[0038] The present invention provides a device and method for evaluating facility management performance, thereby enabling a means of 'contract performance verification' without legal risk. In particular, for prime contractors or supervisors, it is possible to perform legal and objective inspections based on actual dwell time data relative to contracted working time without the need to directly instruct workers, and thereby fundamentally block the risk of illegal dispatch.

[0039] The present invention provides a facility management performance evaluation device and method, thereby enabling the automatic identification of abnormal signs such as work omissions and negligence, and in particular, according to the logic of each Task / Route [Task: △t < T std X α → work density insufficient], [Route: △t > T std It can automatically detect abnormal signs such as X β → neglect of work while moving in real time, thereby dramatically improving management efficiency.

[0040] The present invention provides a facility management performance evaluation device and method, thereby making it possible to objectively prove the skills / proficiency of elderly workers, and in particular, by enabling data-based proof of skills / performance such as “98% standard time compliance rate” regardless of the worker’s age, it can provide a positive effect on the continuous employment / evaluation of elderly workers.

[0041] The present invention provides a facility management performance evaluation device and method, which can be utilized as a core infrastructure for cleaning DX / robot automation. In particular, by accumulating a standard time DB at the Task / Route level, it is possible to build a quantitative standard data infrastructure that serves as the basis for future automatic robot movement path setting, human-robot collaboration structure design, and work automation.

[0042] The present invention provides a facility management performance evaluation device and method, thereby enabling the implementation of a fair performance sharing system. In particular, by automatically calculating the time saved through work efficiency and reflecting it as a quantified incentive, it can induce the participation of field workers and increase the overall efficiency of the industry.

[0043] However, the effects obtainable from the present invention are not limited to those described above, and other effects may exist. Brief explanation of the drawing

[0044] FIG. 1 is a diagram showing the schematic configuration of a facility management performance evaluation system including a facility management performance evaluation device according to one embodiment of the present invention. FIG. 2 is a diagram showing an example of data stored in a database unit within a facility management performance evaluation device according to one embodiment of the present invention. FIG. 3 is an operation flowchart of a facility management performance evaluation method according to an embodiment of the present invention. Specific details for implementing the invention

[0045] Embodiments of the present invention are described below with reference to the attached drawings so that those skilled in the art can easily implement the invention. However, the present invention may be embodied in various different forms and is not limited to the embodiments described herein. Furthermore, in order to clearly explain the present invention in the drawings, parts unrelated to the explanation have been omitted, and similar parts throughout the specification are denoted by similar reference numerals.

[0046] Throughout the specification of the present invention, when a part is described as being "connected" to another part, this includes not only cases where they are "directly connected," but also cases where they are "electrically connected" or "indirectly connected" with other elements interposed between them.

[0047] Throughout the specification of the present invention, when a member is described as being located "on," "on the upper," "on the top," "under," "on the lower," or "on the bottom" of another member, this includes not only cases where the member is in contact with the other member, but also cases where another member exists between the two members.

[0048] Throughout the specification of the present invention, when a part is described as "comprising" a certain component, this means that, unless specifically stated otherwise, it does not exclude other components but may include additional components.

[0049] Throughout the specification of the present invention, some of the operations or functions described as being performed by a terminal, device, or device may instead be performed by a server connected to said terminal, device, or device. Likewise, some of the operations or functions described as being performed by a server may also be performed by a terminal, device, or device connected to said server.

[0050] Throughout the specification of the present invention, the term "at least one" may be defined as a term including both singular and plural forms, and it will be obvious that even if the term "at least one" is not present, each component may exist in a singular or plural form and may mean singular or plural. Furthermore, whether each component is provided in a singular or plural form may be changed according to the embodiment.

[0051] FIG. 1 is a diagram showing the schematic configuration of a facility management performance evaluation system (100) including a facility management performance evaluation device (10) according to one embodiment of the present invention.

[0052] For convenience of explanation, the facility management performance evaluation device (10) according to one embodiment of the present invention will be referred to as the device (10), and the facility management performance evaluation system (100) according to one embodiment of the present invention will be referred to as the system (100). In addition, the details shown (described) in the drawings of the present invention, including FIG. 1, may be applied equally to the description of the device (10), even if they are omitted below.

[0053] Referring to FIG. 1, the system (100) may include the device (10), a manager terminal (20), a worker terminal (30), and a facility under management (7).

[0054] The device (10) may be a device or server that provides at least one of a webpage (homepage), program, application (app), service, and platform related to facility management performance evaluation. At this time, the webpage (homepage), program, application, service, and platform related to facility management performance evaluation provided by the device (10) may be referred to as the webpage (this homepage), the program, the app, the service, and the platform, respectively, for convenience of explanation below. In the example illustrated in FIG. 1, the device (10) is described as being provided in the form of a server capable of transmitting and receiving data through a network (5) with each of the administrator terminal (20), the worker terminal (30), and the facility under management (7).

[0055] Users of the device (10) may include workers and administrators. Users may use the service by accessing the program, the app, the website, etc. (especially by accessing after installation or without installation) using a terminal they each possess, and may also use the service without registering (logging in).

[0056] The device (10) may be a device capable of managing the quality of various tasks (work), particularly cleaning and patrolling, in relation to the field of facility management (FM). The device (10) may be referred to by other terms such as a device for verifying contract fulfillment of building cleaning management (i.e., a device for verifying contract fulfillment of building cleaning management), a facility management performance evaluation device, etc. In particular, the device (10) may provide a core data processing algorithm that can objectively and quantitatively measure the diligence and quality of work (work) and verify whether the contract is fulfilled by comparing and analyzing in real-time the absolute work time data (i.e., dwell time, △t) of a worker calculated from work log data obtained (collected) through a location identifier or worker terminal (30) installed in the facility (7) under management, with a 'situational dynamic standard time database' that changes dynamically according to the 'attributes (heterogeneous) of work' and 'performance situation (Context)' rather than a simple fixed value.

[0057] In other words, the device (10) relates to the field of Facility Management (FM) and can evaluate / verify the quality of performance of facility management tasks, such as cleaning (building cleaning management) and patrolling, based on quantitative data. In particular, the device (10) can provide a quantitative performance evaluation technology and a data processing method thereof that objectively evaluates the diligence / quality of work and verifies whether a contract has been fulfilled by comparing / analyzing in real time the absolute dwell time data (△t) of a worker collected using a location identifier with a dynamic standard time database that changes dynamically according to the characteristics of the area attributes (Task / Route) and the context (Context), such as time zones / circulations. The device (10) can be applied to building cleaning management, trade centers, etc.

[0058] The administrator terminal (20) may refer to a terminal possessed by the administrator. The administrator is a person who develops and distributes the device (10) and operates and manages the device (10), and may be referred to by other terms such as system administrator. In addition, the administrator is a person who manages, for example, a facility subject to management (7), and may be referred to by other terms such as facility manager.

[0059] In particular, the manager (facility manager) may be a person who enters into a contract regarding the said work with workers employed to perform the work for facility management of the facility (7) under management, and subsequently receives evaluation result data from the device (10) through the manager terminal (20) regarding the performance of facility management of the facility (7) under management carried out by the contracted workers. Such a manager may also be referred to by other terms such as employer, business owner, etc.

[0060] The facility subject to management (7) may refer to a facility that is subject to facility management. The facility subject to management (7) considered in the present invention may include, for example, residential facilities (e.g., apartments, villas, officetels, dormitories, etc.), commercial facilities (e.g., department stores, shopping malls, commercial buildings, hotels, etc.), business facilities (e.g., general buildings (offices), data centers, research institutes, etc.), industrial facilities (e.g., factories, warehouses, logistics centers, etc.), public facilities (e.g., hospitals, schools, libraries, museums, gymnasiums, airports, etc.), and other facilities (e.g., power plants, roads, bridges, social infrastructure, parks, etc.), and is not limited to a specific type of facility.

[0061] In addition, the tasks for facility management considered in the present invention may include, for example, various types of tasks such as cleaning, security (patrol), inspection, maintenance, painting, parking lot vehicle control, and access control, and are not limited to tasks of a specific field (type). In the present invention, the term 'task' may be referred to by other terms such as work, task, or mission.

[0062] Additionally, the facility subject to management (7) may be a facility configured to include, for example, multiple zones. In the present invention, the term 'zone' may be referred to by other terms such as management zone, zone, etc.

[0063] In addition, the plurality of zones in the present invention may include a task zone, which is a zone where work is performed by a worker (e.g., cleaning, security, etc.), and a route zone, which is a zone where the worker simply moves without performing work (e.g., a corridor). At this time, the task zone may include a closed zone, an open zone (outdoor zone), etc.

[0064] The facility under management (7) may include location identifiers installed in each of the multiple zones. At this time, the location identifiers may be configured as a pair, and in particular, for each zone, a pair may be configured as a pair including a Na location identifier installed at the entrance point of the zone and a Nb location identifier installed at the exit point of the zone. Here, N may be a natural number. That is, in each zone, a pair of location identifiers may be configured and installed, respectively, at the entrance point and the exit point of each zone.

[0065] For example, a pair of location identifiers installed in the first zone among multiple zones may include a firsta location identifier installed at the entrance of the first zone and a firstb location identifier installed at the exit of the first zone. Additionally, a pair of location identifiers installed in the second zone among multiple zones may include a seconda location identifier installed at the entrance of the second zone and a secondb location identifier installed at the exit of the second zone. In this way, the facility under management (7) may include a pair of location identifiers installed in each of the multiple zones, and the multiple zones and the multiple pairs of location identifiers may be arranged to correspond one-to-one with each other (i.e., a pair of location identifiers provided per zone).

[0066] In describing the present invention below, the description of a location identifier (a pair of location identifiers) installed in any one of a plurality of zones may be applied in the same or similar manner to the description of each location identifier installed in each of the plurality of zones, even if such details are omitted below. Likewise, the description of any one of the plurality of zones (e.g., the first zone) may also be applied in the same or similar manner to the description of each of the plurality of zones.

[0067] Here, the location identifier is a means used (provided) to identify the location of a worker performing work at a managed facility (7), and may include, for example, NFC, QR code, beacon, etc. However, it is not limited to these, and various means that enable the identification of the worker's location may be applied as the location identifier. The location identifier may also be referred to by other terms such as IoT identifier.

[0068] The worker terminal (30) may refer to a terminal held by the worker. The worker may be a person who performs (implements) tasks for facility management targeting the facility (7) after entering into a contract with a manager (facility manager). Such a worker is a person employed for facility management of the facility (7) and may be referred to by other terms such as worker or employee. The manager may be the prime contractor, 'Party A', or 'Party C (supervisor)', and the worker may be a service provider or 'Party B'.

[0069] In FIG. 1, the case in which one worker terminal (30) is included within the system (100) is described as an example, but this is merely an example to aid in understanding the present invention and is not limited thereto. As another example, the system (100) may include multiple worker terminals possessed by each of multiple workers, and in describing the present invention below, the description of the worker terminal (30) may be applied equally to the description of each of the multiple worker terminals, even if the details are omitted below. Accordingly, for example, the worker terminal (30) shown in FIG. 1 may refer to a worker terminal (first worker terminal) possessed by one of the multiple workers (for example, the first worker).

[0070] In the present invention, the terminal (i.e., the manager terminal (20) and the worker terminal (30) each) may include, for example, all types of wired and wireless communication devices such as PCS (Personal Communication System), GSM (Global System for Mobile communication), PDC (Personal Digital Cellular), PHS (Personal Handyphone System), PDA (Personal Digital Assistant), IMT (International Mobile Telecommunication)-2000, CDMA (Code Division Multiple Access)-2000, W-CDMA (WCode Division Multiple Access), Wibro (Wireless Broadband Internet) terminal, smartphone, smartpad, tablet PC, laptop, wearable device, desktop PC, etc., but is not limited thereto.

[0071] The device (10) can transmit and receive data by being linked with each of the administrator terminal (20), the worker terminal (30), and the facility under management (7) through a network (5), and can control the operation of each of the administrator terminal (20) and the worker terminal (30) (e.g., screen display operation).

[0072] Here, the network (5) may include, for example, a 3GPP (3rd Generation Partnership Project) network, an LTE (Long Term Evolution) network, a WIMAX (World Interoperability for Microwave Access) network, the Internet, a LAN (Local Area Network), a Wireless LAN (Wireless Local Area Network), a WAN (Wide Area Network), a PAN (Personal Area Network), a Bluetooth network, a NFC (Near Field Communication) network, a satellite broadcasting network, an analog broadcasting network, a DMB (Digital Multimedia Broadcasting) network, but is not limited thereto and may include various wired / wireless communication networks. A more detailed description of the device (10) is as follows.

[0073] The device (10) may include a construction unit (11), a database unit (12), an acquisition unit (13), a judgment unit (14), a performance evaluation unit (15), and a control unit (16).

[0074] The construction unit (11) can construct a database unit (12) containing standard times for each zone within the facility under management (7). The construction unit (11) can construct a database unit (12) based on input from the manager.

[0075] Specifically, the construction unit (11) can provide a zone registration screen to the administrator terminal (20) for the construction of the database unit (12), and through the zone registration screen, the administrator can input and register zone setting data for each of the multiple zones for which facility management is to be performed within the facility to be managed (7). Here, the zone setting data may include information regarding the zone identifier (Zone ID, Zone ID), zone name, type of heterogeneity, and management variables for each zone. The construction unit (11) can enable the administrator to freely input (register), set, and modify (change, edit) zone setting data for each zone through the zone registration screen.

[0076] Here, the above heterogeneity may refer to heterogeneous attribute information regarding whether the attribute of the work in the corresponding area is a Task or a Route. That is, for a single area, the type of heterogeneity can be set as a Task (Task Type) or a Route (Route Type).

[0077] For example, if Zone 1, which is one of multiple zones, is a zone where a specific task (e.g., cleaning a restroom) is performed by a worker, the type of heterogeneity of Zone 1 can be set as 'Task'. On the other hand, if Zone 2, which is another of multiple zones, is not a zone where a specific task is performed by a worker but is simply a zone used for movement from one zone to another (e.g., a corridor), the type of heterogeneity of Zone 2 can be set as 'Route'. According to this, 'Task' refers to a zone where work is performed (executed), such as a restroom, while 'Route' refers to a zone where simple movement takes place, such as a corridor.

[0078] In addition, the above management variable is the standard time (T) of a specific task when a worker performs a specific task in a zone. std It may refer to information about factors that influence the setting (calculation) of (i.e., factors that serve as the basis for calculating standard time), that is, information about factors (variables) that are managed when performing a specific task. For example, if the area is a restroom, the managed variables may include the number of toilets, the number of washbasins, etc. For example, the managed variables for one of the multiple areas (e.g., Area 1) may be set as [5 urinals, 3 toilets].

[0079] Additionally, the construction unit (11) may provide a situation setting screen to the administrator terminal (20) for the construction of the database unit (12), and through the situation setting screen, the administrator may input and register situation setting data for each of the multiple zones within the facility to be managed (7) where facility management is to be performed. Here, the situation setting data may include a situation type and standard setting data corresponding to the situation type.

[0080] For example, the construction unit (11) may register the above situation type and standard setting data corresponding to the situation type for each of the multiple zones (in particular, each zone identifier or zone name) corresponding to the multiple zone setting data registered by the administrator on the zone registration screen.

[0081] Here, the above-mentioned context type refers to a type of task execution context and may include, for example, information such as the cycle number, time zone, and day of the week. The above-mentioned cycle number may include, for example, the 1st cycle (morning - setup), 2nd cycle (afternoon - maintenance), 3rd cycle (afternoon - maintenance), always (every time), etc. The expression "above-mentioned context type" may be referred to by other terms, for example, application conditions.

[0082] The above standard setting data is the standard time (T) corresponding to the situation type.std It may include error coefficients (α, β), quality standards (QS-Ref), and standard operating procedures (SOP). Here, the error coefficient may be referred to by other terms such as the allowable error coefficient. Such standard setting data may be referred to by other terms such as situation-specific (situation-type-specific) standard setting data, situation-specific dynamic standard setting data, etc.

[0083] For reference, the above standard time refers to the standard work execution time (or standard movement time, standard work execution time) required to perform a specific heterogeneous dependency (work or movement) normally in the area, and may be a time value pre-set and stored in the database section (12).

[0084] The above error coefficient is a correction coefficient multiplied by the standard time to reflect differences in performance speed among workers, environmental variation factors, facility size, etc., when applying the standard time, and may be a coefficient that can be set to different values ​​depending on at least one of the situation type (e.g., rotation, time zone) and the type of heterogeneity even within the same area. For example, in one example of the present invention, alpha (α) may be applied as the error coefficient (first error coefficient) when the type of heterogeneity of the work is 'work', and beta (β) may be applied as the error coefficient (second error coefficient) when the type of heterogeneity of the work is 'movement'.

[0085] The above quality standard refers to a quality evaluation standard for determining whether the performance result for the relevant area or task (work) has been successfully completed, and may mean an identifier (ID) or a set of rules that defines inspection items, evaluation methods, required levels, etc., for each task (work) item.

[0086] The above standard operating procedure (SOP) refers to a work manual that documents step-by-step procedures, methods of execution, tool usage, safety rules, etc., that must be observed to perform work according to the area or type of work (task), and can be stored in the database section (12) in the form of a procedure identifier (SOP-ID).

[0087] The construction unit (11) allows the administrator to freely input (register), set, and modify (change, edit) standard setting data for each situation type in each zone through the above situation setting screen.

[0088] In this way, the construction unit (11) can receive administrator input data (administrator setting data) from the administrator terminal (20), which includes zone-specific zone setting data received from the administrator through the zone registration screen and standard setting data for each situation type for each of the multiple zones received from the administrator through the situation setting screen, and can construct a database unit (12) based on the received administrator input data. The construction unit (11) can construct a database unit (12) that includes the administrator input data.

[0089] The database section (12) may include a heterogeneous zone DB (121), a contextual dynamic standard DB (122), and a management variable DB (131). The database section (12) may be referred to by other terms such as a storage section. Additionally, the contextual dynamic standard DB (122) may include a contextual dynamic standard time DB (Contextual T std It may be referred to by other terms such as DB).

[0090] The construction unit (11) can classify all zones (i.e., multiple zones) within the facility under management (7) into different attributes (heterogeneous) such as Task or Route based on the above-mentioned manager input data (in particular, zone setting data by zone) and store and manage them in the heterogeneous zone DB (121). In the heterogeneous zone DB (121), for each zone, information on the zone identifier (Zone ID) of each zone and information on the type of heterogeneous dependency corresponding thereto (i.e., Task or Route) may be stored in a linked manner.

[0091] In addition, the construction unit (11), based on the above-mentioned manager input data, does not simply map standard time to each zone (Zone ID) on a 1:1 basis for each of the multiple zones within the facility under management (7), but rather, even for the 'same zone (Zone ID),' 'different standard times (T)' according to the situation type (application condition) for the corresponding zone set by the manager (e.g., 1st round (morning setup), 2nd round (maintenance), time zone, day of the week, etc.). std )', 'different error coefficients (α, β)', 'different quality standards (QS)', and 'different standard operating procedures (SOP)' can be mapped and stored in a situational dynamic standard DB (122) and managed.

[0092] In other words, the construction unit (11) can store and manage standard setting data that is set differently for each of the multiple zones according to the situation type, based on the above-mentioned manager input data, in the situation-specific dynamic standard DB (122). According to this, at least one standard setting data (i.e., standard setting data by situation type) may be mapped to one zone in the situation-specific dynamic standard DB (122).

[0093] Additionally, the construction unit (11) can store and manage information regarding management variables entered by the manager (i.e., management variables that serve as the basis for calculating standard time) in the management variable DB (123) based on the manager input data (in particular, zone setting data by zone). The information regarding the management variables may be, for example, [Restroom in Zone 1 (Restroom A) - 5 urinals, 3 toilets]. The construction unit (11) can manage (control) the information regarding management variables stored in the management variable DB (123) so that it is utilized as the basis for adjusting standard time.

[0094] According to the above description, when the database unit (12) is built, the manager can set (input, register) the standard time (i.e., standard time per zone) for each of the multiple zones within the managed facility (7) through the situation setting screen on the manager terminal (20). At this time, even if it is the same zone (e.g., the first zone), the standard time can be set differently depending on the situation (situation type, application condition) (i.e., different standard times can be set for each situation for one identical zone).

[0095] According to this, the standard time per zone (per zone identifier) ​​stored in the database unit (12) can be set and managed as different standard times depending on at least one of the type of heterogeneity, the type of situation, and the management variable for each zone. That is, the standard time per zone within the database unit (12) can be set to change (vari) dynamically by considering at least one of the type of heterogeneity, the type of situation, and the management variable for each zone.

[0096] In other words, the database section (12) may store information regarding the standard time for each zone, wherein the standard time for each zone may be a standard time that is dynamically set according to the type of heterogeneous attribute and the type of situation (i.e., a dynamic standard time for heterogeneous and situational attributes). Therefore, the database section (12) may be referred to by other terms such as a heterogeneous and situational dynamic standard time database.

[0097] The construction unit (11) allows the administrator of the administrator terminal (20) to directly input (register, set) and modify all variables (e.g., number of toilets, zone name, standard time, etc.) considered when constructing the database unit (12) without coding, and to dynamically set all said variables. Accordingly, the device (10) and the system (100) can be configured (prepared) based on a dynamic configuration architecture in which the administrator can dynamically set all variables.

[0098] An example of a database section (12) constructed by the construction section (11) may be as shown in FIG. 2.

[0099] FIG. 2 is a diagram showing an example of data stored in a database unit (12) within a facility management performance evaluation device (10) according to one embodiment of the present invention.

[0100] Referring to FIG. 2, the database unit (12) may store (register) data such as that shown in FIG. 2 based on administrator input data input from the administrator terminal (20). That is, the construction unit (11) can receive detailed zone setting information for each of the multiple zones within the facility under management (7) from the administrator terminal (20), and can store and manage this in the database unit (12).

[0101] That is, the database section (12) may store zone-specific detailed setting information for each of the multiple zones set based on the input of the manager. Here, the zone detailed setting information may include, as shown in FIG. 2, i) information regarding the zone identifier, zone name, and type of heterogeneity included in the zone setting data, and ii) information regarding the situation type and standard setting data (i.e., standard time, error coefficient, quality standard, and SOP) included in the situation setting data.

[0102] For reference, the standard time of 15 minutes set for the first zone (e.g., Z-101, Zone 1 toilet) among the multiple zones in FIG. 2 may be information calculated (derived) based on information of management variables stored (set) for the first zone in the management variable DB (123) (e.g., information of ‘5 urinals, 3 toilets’).

[0103] Additionally, within the database section (12), for the same first zone (e.g., Z-101, Zone 1 restroom), the standard time may be set differently depending on the situation. In other words, the construction section (11) may allow the administrator to set the standard time differently depending on the situation for the same zone (e.g., Zone 1) when constructing the database section (12). For example, within the database section (12), i) the standard time may be set to 15 minutes when the situation type for Zone 1 is the same as the first situation corresponding to '1st round (06~09 o'clock / setup)', whereas ii) the standard time may be set to 7 minutes when the situation type for Zone 1 is the same as the second situation corresponding to '2nd round or 3rd round (09~16 o'clock / maintenance)'.

[0104] In addition, within the database section (12), for the same first zone, the standard time may be set differently for each type of heterogeneity depending on the type of heterogeneity of the first zone. In other words, the construction section (11) can enable the administrator to set different standard times for the same zone (e.g., the first zone) for each type of heterogeneity of the zone when constructing the database section (12). For example, within the database section (12), i) the standard time may be set to 15 minutes when the type of heterogeneity for the first zone is 'work', whereas ii) the standard time may be set to 3 minutes when the type of heterogeneity for the first zone is 'movement'.

[0105] According to this, the device (10) can set different standard times for each type of heterogeneous dependency depending on the type of heterogeneous dependency within a single identical zone, in relation to the zone-specific standard times stored in the database unit (12). Through this, the standard times for a single identical zone are not all treated as the same, but are separated into heterogeneous data such as 'work' and 'movement' for analysis and management. Similarly, as described above, the device (10) can set different standard times for a single identical zone according to the situation (by situation type).

[0106] Meanwhile, once the database unit (12) is established by the construction unit (11), the acquisition unit (13) can acquire work log data of workers at the managed facility (7). Here, the work log data may be expressed differently using terms such as work record (log) data.

[0107] The acquisition unit (13) can acquire the work log data from the worker terminal (30) in response to the worker terminal (30)'s recognition of location identifiers installed in each zone within the facility under management (7) (in particular, a pair of location identifiers installed in each of the multiple zones). Here, as previously mentioned, the location identifiers may include, for example, NFC (NFC tag), QR code, beacon, etc., and may be provided as a pair for each zone.

[0108] At this time, recognition of the location identifier by the worker terminal (30) may mean i) an act of the worker tagging (contacting) the worker terminal (30) with the location identifier when the location identifier is provided to have wireless communication functions such as NFC or a beacon, and ii) an act of the worker photographing the location identifier with the camera of the worker terminal (30) when the location identifier is provided in the form of a QR code, etc.

[0109] Additionally, each of the location identifiers installed within the facility under management (7) may contain (store) location identifier information. Here, the location identifier information may include the location identifier ID, which is the unique information of itself (location identifier), the zone identifier (Zone ID) and zone name of the zone where the location identifier is installed, and installation location information within the zone. At this time, the installation location information may be information indicating whether the location identifier is installed at the entrance point or the exit point of the zone within the zone where it is installed, and may be information indicated as an entrance point or an exit point.

[0110] For example, let's assume that a worker intends to perform work (cleaning work) on the first zone (e.g., Z-101, Zone 1 restroom) among multiple zones within the facility under management (7).

[0111] At this time, a pair of location identifiers may be installed in the first zone. The pair of location identifiers installed in the first zone may include a location identifier 1a installed at the entry point of the first zone and a location identifier 1b installed at the exit point of the first zone. At this time, if the location identifiers are provided in the form of NFC, the location identifier 1a may be referred to by terms such as the 1a NFC tag or the 1a NFC In-Tag, and the location identifier 1b may be referred to by terms such as the 1b NFC tag or the 1b NFC Out-Tag.

[0112] When a worker attempts to enter a first zone to perform cleaning work, the worker terminal (30) may first be tagged (contacted) with a firsta location identifier installed at the entry point of the first zone, and in this case, in response to the tagging, the acquisition unit (13) may acquire work log data (in particular, work log data corresponding to the firsta location identifier) ​​from the worker terminal (30).

[0113] At this time, the work log data (e.g., the first work log data) obtained from the worker terminal (30) in response to tagging the firsta location identifier may include, for example, the terminal ID of the worker terminal (30), location identifier information already stored in the firsta location identifier that tagged the worker terminal (30) (i.e., location identifier information corresponding to the firsta location identifier), and current status information of the worker.

[0114] Here, the current situation information may include information such as the current cycle, time zone, and day of the week, and information about the time at which tagging was performed (which may be considered as the time of entry into the first zone). Information about the time at which tagging was performed may be referred to by other terms such as current time information. In particular, the cycle information within the current situation information may be information calculated based on, for example, the work status of the worker terminal (30), the current time, or the schedule information of the device (10, server). The current situation information including such cycle information may be information that the acquisition unit (13) can acquire from the worker terminal (30). That is, when the worker terminal (30) is tagged to the firsta location identifier, the worker terminal (30) may transmit the current situation information along with a tagging event to the device (10) in response to the tagging, and through this, the acquisition unit (13) may acquire the current situation information.

[0115] After the acquisition unit (13) acquires work log data (e.g., first work log data) corresponding to the firsta location identifier from the worker terminal (30), the worker can enter the first zone and perform a given task (e.g., cleaning task). Afterward, when the worker finishes performing the task for the first zone and exits the first zone, the worker terminal (30) can be tagged (contacted) with the firstb location identifier installed at the exit point of the first zone. In this case, in response to the tagging, the acquisition unit (13) can acquire work log data (specifically, work log data corresponding to the firstb location identifier) ​​from the worker terminal (30).

[0116] At this time, the work log data (e.g., second work log data) obtained from the worker terminal (30) in response to tagging the first b location identifier may include, for example, the terminal ID of the worker terminal (30), location identifier information already stored in the first b location identifier that tagged the worker terminal (30) (i.e., location identifier information corresponding to the first b location identifier), and current status information of the worker. Here, the current status information may include information such as the current rotation, time zone, and day of the week, and information on the time at which tagging was performed (which may be considered as the time of entry into the first zone).

[0117] According to this, the work log data of a worker obtained by the acquisition unit (13) from the worker terminal (30) may include $t_{in}$ (entry time), $t_{out}$ (exit time), current status information (time, number of cycles, etc.).

[0118] After the acquisition unit (13) acquires work log data (e.g., second work log data) corresponding to the first b location identifier from the worker terminal (30), the worker can move to another area and perform the assigned work in the area moved to, and if all work for the area assigned to the worker is completed, the worker can leave work.

[0119] In this way, the acquisition unit (13) can cause the worker terminal (30) to recognize (e.g., tagging) the location identifier (a pair of location identifiers) provided in each of the management target areas (areas where the worker performs work) whenever the worker enters or exits (enters and exits) each of the management target areas assigned to the worker among the multiple areas within the management target facility (7), and through this recognition, the worker's work log data (multiple work log data) while performing work can be acquired. At this time, the management target areas assigned to the worker may include the aforementioned work area and movement area.

[0120] In other words, the acquisition unit (13) may target some areas (the areas under management) where a worker intends to enter or exit (enter and exit) to perform work among a plurality of areas within the facility under management (7), and may cause the worker terminal (30) to recognize a pair of location identifiers already installed in each of the areas under management, thereby acquiring work log data corresponding to each of the areas under management. At this time, for example, the work log data corresponding to one of the areas under management (for example, the first area) may include a first work log data corresponding to the entry point of the area under management and a second work log data corresponding to the exit point of the area under management, as previously mentioned.

[0121] In the example of the present invention described above, the acquisition unit (13) is exemplified as acquiring work log data only from the worker terminal (30), but this is merely an example to aid in understanding the present invention and is not limited thereto. In another example, the work log data acquired by the acquisition unit (13) may be acquired from the worker terminal (30) and / or a location identifier. For example, among the work log data, the worker's current situation information may be acquired from the worker terminal (30), and the remaining information among the work log data, excluding the current situation information (e.g., the terminal ID of the worker terminal, location identifier information already stored in the location identifier that tagged the worker terminal), may be acquired from the location identifier.

[0122] The judgment unit (14) can determine whether there is an abnormal sign (whether there is an abnormal sign regarding the worker's work performance) by analyzing the worker's work log data (multiple work log data) obtained from the acquisition unit (13) and comparing the worker's dwell time calculated with the corresponding standard time corresponding to the work log data in the database unit (12).

[0123] In particular, the judgment unit (14) can calculate the dwell time, which is the time the worker stayed in the area they entered and exited by calculating the difference time between the time of exit and the time of entry within the work log data. Here, the dwell time may be referred to by other terms such as absolute dwell time.

[0124] The judgment unit (14) can calculate the time spent by a worker in each of the partial areas based on the acquired work log data when the acquisition unit (13) acquires work log data corresponding to each of the partial areas.

[0125] According to the preceding example, let us assume that the acquisition unit (13) has acquired the first work log data and the second work log data as work log data corresponding to one of the aforementioned partial areas (e.g., the first area). At this time, the judgment unit (14) determines the time of entry of a worker for the first area (t) from the 'information of the time at which tagging was performed' included in the first work log data. in It is possible to identify (extract) ) and also the time of the worker's exit (t) for the first zone from the 'information on the time of tagging' included in the second business log data. out ) can be identified (extracted). Subsequently, the judgment unit (14) can calculate the time the worker stayed in the first zone by subtracting the identified entry time from the identified exit time. That is, the judgment unit (14) can use the formula [△t = t out - t in By performing calculations based on ], the dwell time (△t) for the first zone that the worker entered and exited can be calculated in real time.

[0126] The judgment unit (14) can calculate the dwell time corresponding to each area (each of the parts of the parts) entered and exited in real time, based on the work log data obtained from the acquisition unit (13), for all areas (i.e., the parts of the parts) that the worker entered and exited through this calculation (operation) method.

[0127] Afterward, the judgment unit (14), in relation to the aforementioned partial areas where a worker has entered and exited, once the dwell time for each partial area is calculated, derives a corresponding standard time corresponding to the work log data considered when calculating the dwell time within the database unit (12) for each partial area (i.e., for each partial area), and then determines whether there is an abnormal sign for each partial area (whether an abnormal sign has occurred) by comparing the derived corresponding standard time with the calculated dwell time. For convenience of explanation, an example will be described below based on the first area, which is one of the partial areas.

[0128] For example, let's assume that the judgment unit (14) calculates (derives) the worker's stay time (△t) for the first area as 14 minutes, for example, through the analysis of work log data (i.e., the first work log data and the second work log data) corresponding to one of the above-mentioned areas (the first area).

[0129] Subsequently, the judgment unit (14) can determine whether there is an abnormal sign regarding the worker's work performance in the first zone by identifying i) a zone identifier (Zone ID) for the zone where the worker's stay time is calculated (i.e., the zone where the worker stays) and ii) the worker's current situation information from the acquired work log data (i.e., the first work log data and the second work log data) to determine whether there is an abnormal sign regarding the worker's work performance in the first zone. At this time, the identified zone identifier (Zone ID) may be 'Z-101' as an example, and the identified worker's current situation information may be 'Current time: 11:00 AM, current round information: 2nd round'.

[0130] Additionally, the judgment unit (14) can identify information regarding the type of heterogeneity of the area corresponding to the identified area identifier (e.g., Z-101) (i.e., whether it is a task or a route) by comparing the identified area identifier with the heterogeneous area DB (121) in the database unit (12) once the area identifier (e.g., Z-101) of the area where the stay time is calculated is identified.

[0131] Subsequently, the judgment unit (14) can identify the area detailed setting information that matches the identification data among the area detailed setting information stored in the database unit (12) as matching area detailed setting information based on the identification data identified from the business log data (in particular, identification data including the identified area identifier, the identified current situation information, and the identified type of heterogeneous dependency (i.e., the type of heterogeneous dependency of the area corresponding to the identified area identifier)) and call (extract) it from the database unit (12).

[0132] For example, if the identification data is [Zone identifier: "Z-101", current situation information: "Current time: 11:00 AM, current cycle information: 2nd cycle", type of heterogeneity: "Work"], the judgment unit (14) can identify one of the zone detailed setting information that matches the identification data from the list of zone detailed setting information for each zone, such as illustrated in FIG. 2, which is stored in the database unit (12), for example, as the matching zone detailed setting information. At this time, the judgment unit (14) can identify, for example, [Zone identifier: "Z-101", Zone name: "Zone 1 restroom", Type of heterogeneity: "Task", Situation type: "2,3 cycle (09~16 / maintenance)", Standard time: "7 minutes", Error coefficient: "α =0.8", Quality standard: "[QS-ID-B]", Standard operating procedure (SOP): "[SOP-A]"] as the matching zone detailed setting information, and then retrieve the identified matching zone detailed setting information from the database unit (12).

[0133] That is, the judgment unit (14) can identify and dynamically fetch any one of the area detailed setting information that satisfies all three types of data (i.e., area identifier, current situation information, and type of heterogeneity) included in the identification data among the area detailed setting information in the database unit (12) as matching area detailed setting information.

[0134] In summary, the judgment unit (14) calls the matching area detailed setting information that matches the identification data identified through the analysis of the business log data from the database unit (12) among the area detailed setting information stored in the database unit (12), and then calculates the comparison standard time by multiplying the standard time and the error coefficient included in the called matching area detailed setting information based on the called matching area detailed setting information, and can derive the calculated comparison standard time as the corresponding standard time.

[0135] At this time, among the zone-specific detailed setting information stored in the database section (12), the 'standard time' may refer to information on the time (standard work performance time) that serves as the standard for judgment (evaluation) when determining whether a worker has performed the work (task) in the corresponding zone normally (i.e., evaluating whether the worker has properly performed facility management for the corresponding zone). This 'standard time' may be referred to by other terms such as evaluation standard time.

[0136] In addition, the 'standard time' considered in the present invention may not be a fixed evaluation standard (evaluation standard time), but may be a configuration that allows for real-time variation and application (setting) according to the 'situation' by taking into account the specificity (setup / maintenance) of the facility management site. In other words, as mentioned above, the standard time for each zone among the zone-specific detailed setting information stored in the database unit (12) may be a configuration that allows for dynamic change (variation) and setting based on the input of the manager, taking into account the situation type or the type of heterogeneity.

[0137] The judgment unit (14), after calling the matching area detailed setting information, calculates a comparison standard time (i.e., 7 x 0.8 = 5.6 minutes) by multiplying the standard time (e.g., 7 minutes) and the error coefficient (e.g., α=0.8) included in the subsequently called matching area detailed setting information, and can derive the calculated comparison standard time as the corresponding standard time. Here, the corresponding standard time may refer to the corresponding standard time corresponding to the work log data considered when calculating the worker's stay time (e.g., 14 minutes) for the first area.

[0138] Subsequently, the judgment unit (14) can determine whether there is an abnormal sign regarding the worker's work performance in the first zone by comparing the derived corresponding standard time (e.g., 5.6 minutes) with the calculated worker's stay time (△t, e.g., 14 minutes). The judgment unit (14) can determine whether there is an abnormal sign regarding each of the partial zones through the above method.

[0139] The judgment unit (14) can determine whether there is an abnormal sign by considering the type of heterogeneity of the work in the area corresponding to the above work log data.

[0140] The judgment unit (14), in determining whether there is an abnormal sign, i) when the type of heterogeneity of the work in the area (first area) corresponding to the above work log data is a task, the above dwell time (△t) is the above standard response time (T std_task If X α is smaller than , it is perceived (considered, judged) that the worker did not properly perform the assigned task in the first work zone and finished it earlier than the set standard time (i.e., stayed too short for the set time), and thus it can be judged as an abnormal sign of neglect of work (especially neglect of work due to insufficient work density).

[0141] On the other hand, the judgment unit (14), in determining whether there is an abnormal sign, ii) when the type of heterogeneity of the area (first area) corresponding to the above business log data is movement (Route), the above dwell time (△t) is the above standard response time (T std_route If X is greater than β), it is perceived (considered, judged) that the worker has stayed in the first zone, which is the movement zone, for an excessively longer time than the set standard time, and thus it can be judged as an abnormal sign of neglect of work (especially neglect of work while moving).

[0142] The judgment unit (14), by comparing the dwell time and the standard response time, can determine (detect) that an abnormal sign has occurred in the worker, for example, generate an abnormal sign detection notification and provide it to the manager terminal (20) and also to the worker terminal (30). Here, the abnormal sign detection notification refers to a warning notification indicating that work neglect has occurred, and can be provided in the form of a message, text, voice, etc. In this way, the judgment unit (14) can automatically determine (identify) whether an abnormal sign (work neglect) has occurred in the worker through a comparison between the dwell time and the standard response time, and can provide a warning notification when an abnormal sign occurs.

[0143] The judgment unit (14) can determine whether there is an abnormal sign of a worker for each of the parts (whether an abnormal sign has occurred) by analyzing the work log data of the worker corresponding to each of the parts.

[0144] Hereinafter, the process of determining whether there are abnormal signs according to various scenarios will be explained based on the example of the database unit (12) shown in FIG. 2. For example, let's assume that a worker performs tasks (work) in the order of "Z-101 → Z-102 → Z-103" within the facility under management (7).

[0145] [Example of Determination of No Abnormal Signs (Normal Work Performance)]

[0146] For example, when the judgment unit (14) analyzes the work log data obtained from the acquisition unit (13) and determines that [the worker is performing a '2nd round' at 11:00 AM in the area corresponding to 'Z-101 (Zone 1 restroom)' (especially the work area), and the worker's stay time in the area is calculated to be 14 minutes], the corresponding standard time for the area can be derived as 'standard time 7 minutes X error coefficient 0.8 = 5.6 minutes', and in this case, since the stay time in the area (work area) is greater than or equal to the corresponding standard time, the worker's abnormal signs in the area (Z-101) can be determined as not having abnormal signs.

[0147] Additionally, the judgment unit (14) can determine the corresponding standard time for the area (specifically the movement area) as 'standard time 3 minutes X error coefficient 1.5 = 4.5 minutes' when, as a result of analyzing the work log data obtained from the acquisition unit (13), [the time of stay of a worker in the area corresponding to 'Z-102 (Zone 1 corridor)' is calculated to be 4 minutes], and in this case, since the time of stay in the area (movement area) is less than the corresponding standard time, it can determine whether there is an abnormal sign of a worker in the area (Z-102) as not occurring.

[0148] Additionally, the judgment unit (14), as a result of analyzing the work log data acquired from the acquisition unit (13), can determine that [the situation is that a worker is performing a ‘1st round’ at 6:00 AM in the area corresponding to ‘Z-103 (Zone 1 E / V Hall)’ (especially the work area), and the worker’s stay time in the area is calculated to be 5 minutes], and can derive the corresponding standard time for the area as ‘standard time 5 minutes X error coefficient 0.8 = 4 minutes’, and in this case, since the stay time in the area (work area) is greater than or equal to the corresponding standard time, it can determine whether there is an abnormal sign of the worker in the area (Z-103) as not occurring. For reference, E / V Hall refers to the elevator hall, which is the waiting space in front of the elevator.

[0149] [Example of Determination of Abnormal Signs (Negligence of Duty)]

[0150] For example, when the judgment unit (14) analyzes the work log data obtained from the acquisition unit (13) and determines that [the worker is performing a '2nd round' at 11:00 AM in the area corresponding to 'Z-101 (Zone 1 restroom)' (especially the work area), and the worker's stay time in the area is calculated to be 5 minutes], the corresponding standard time for the area can be derived as 'standard time 7 minutes X error coefficient 0.8 = 5.6 minutes', and in this case, since the stay time in the area (work area) is less than the corresponding standard time, the worker's abnormal signs in the area (Z-101) can be determined as an abnormal sign occurrence (i.e., occurrence of work neglect).

[0151] Additionally, the judgment unit (14) can determine the corresponding standard time for the area (specifically the movement area) as 'standard time 3 minutes X error coefficient 1.5 = 4.5 minutes' when, as a result of analyzing the work log data obtained from the acquisition unit (13), [the time of stay of a worker in the area corresponding to 'Z-102 (Zone 1 corridor)' is calculated to be 8 minutes], and in this case, since the time of stay in the area (movement area) is greater than or equal to the corresponding standard time, the presence of abnormal signs in the worker in the area (Z-102) can be determined as an abnormal sign.

[0152] Additionally, the judgment unit (14) can determine the corresponding standard time for the area as 'standard time 5 minutes X error coefficient 0.8 = 4 minutes' when, as a result of analyzing the work log data obtained from the acquisition unit (13), it is analyzed that [the worker is performing a '1st round' at 6:00 AM in the area corresponding to 'Z-103 (Zone 1 E / V Hall)' (especially the work area), and the worker's stay time in the area is calculated as 3 minutes]. In this case, since the stay time in the area (work area) is less than the corresponding standard time, the worker's abnormal signs in the area (Z-103) can be determined as an abnormal sign occurrence.

[0153] Additionally, the judgment unit (14), for example, when a worker is assigned work for a zone (specifically a work zone) corresponding to 'Z-103 (Zone 1 E / V Hall)', analyzes the work log data acquired by the acquisition unit (13) and determines that work log data corresponding to the zone (i.e., Z-103 (Zone 1 E / V Hall)) has not been acquired, determines that the worker terminal (30) has not performed recognition (i.e., tagging, etc.) of the location identifier in a specific zone (i.e., the zone) among the zones given (assigned) to the worker (i.e., the zone) (i.e., omitted), and in this case, can generate an omission notification (omission warning notification) and provide it to the worker terminal (30). At this time, the omission notification may include information about the zone where the omission occurred (e.g., zone name or zone identifier).

[0154] This judgment unit (14), when determining whether there are abnormal signs (whether there is negligence in work) regarding work performed by a worker within a managed facility (7), unlike a simple patrol system, clearly distinguishes between 'Task' and 'Route' for management and analysis, and can apply different standard times and logic (analysis logic, logic for determining abnormal signs) depending on the type of situation or type of heterogeneity, thereby objectively and automatically identifying / determining the 'density' and 'omission' of work (task) performed by the worker.

[0155] The performance evaluation unit (15) can quantitatively evaluate the facility management performance of a worker for a managed facility (7) based on the result of the judgment derived from the judgment unit (14) (i.e., the result of the judgment regarding whether there are abnormal signs). That is, the evaluation conducted by the performance evaluation unit (15) refers to an evaluation of the performance of facility management for the managed areas assigned to the worker, and may be referred to by other terms such as performance evaluation.

[0156] For example, the performance evaluation unit (15) may perform a first stage corresponding to time evaluation and a second stage corresponding to quality evaluation when performing the above performance evaluation. At this time, the above time evaluation may be performed automatically by the aforementioned judgment unit (14), whereas the above quality evaluation may be performed manually based on the input of the supervisor. Here, the supervisor is a person who supervises (supervises and manages) whether the worker has properly performed the work in the area where the worker performed facility management (i.e., the area where the work was performed), and may be the manager of the manager terminal (20) or another user designated by the manager.

[0157] The judgment unit (14) can determine whether there is an abnormal sign of the worker in a specific area by calculating the time spent in a specific area (e.g., Z-101, etc.) and then comparing the time spent with the corresponding standard time (which is the time derived by multiplying the standard time by an error coefficient) corresponding to the specific area.

[0158] At this time, when the performance evaluation unit (15) performs the above time evaluation (step 1), if it is confirmed that the judgment result from the judgment unit (14) (e.g., the judgment result for the specific area) is 'anomaly signs have occurred,' it is determined that the time the worker performs work in the specific area is less than the standard time (i.e., the response standard time) (i.e., the work density is insufficient). In this case, the result of the worker's time evaluation for the specific area can be determined as, for example, insufficient.

[0159] On the other hand, when the performance evaluation unit (15) performs the above time evaluation (step 1), if the judgment result from the judgment unit (14) (e.g., the judgment result for the specific area) is determined to be 'no abnormal signs occurred,' the performance evaluation unit (15) determines that the time spent by the worker in the specific area has met the standard time (i.e., the corresponding standard time) (i.e., the work density is met). In this case, the performance evaluation unit (15) can determine that the result of the worker's time evaluation for the specific area is satisfied, for example. The performance evaluation unit (15) can provide the result of such time evaluation to the manager terminal (20) and the worker terminal (30), for example.

[0160] Meanwhile, the performance evaluation unit (15) can control (induce) the manager (or supervisor designated by the manager) of the manager terminal (20) to visit the facility (7) to directly check whether the work performed by the worker was properly carried out or if the work was not performed and the worker simply stayed there and left, in order to perform a quality evaluation thereafter.

[0161] At this time, the performance evaluation unit (15) may, when performing a quality evaluation, have the manager visit the facility (7) under management and measure the ATP value with an ATP meter for each of the areas where the manager performed work (i.e., areas under management where facility management was carried out by a worker), and input the measured ATP value for each of the areas under management into the manager terminal (20) to register it in the device (10).

[0162] When the ATP measurement value for each managed area is input (registered) from the administrator terminal (20), the performance evaluation unit (15) identifies quality standards corresponding to the managed areas from the information on quality standards for each area included in the area-specific detailed setting information stored in the database unit (12), and then compares the information on the identified quality standards (i.e., information on quality standards corresponding to the managed areas) with the ATP measurement value for each managed area to determine whether the quality is satisfied for each managed area, and can derive and provide information on whether the quality is satisfied as a result of the quality evaluation.

[0163] For example, let's assume that the result of the time evaluation for the specific area (e.g., Z-101) is determined to be satisfactory. Subsequently, let's assume that the manager inputs an ATP measurement value of 350 RLU for the specific area through the manager terminal (20). Then, let's assume that the quality standard corresponding to the specific area identified from the database unit (12) is, for example, '[QS-ID-A]: ATP less than 200 RLU'. In this case, the performance evaluation unit (15) can determine that the ATP measurement value for the specific area (i.e., 350 RLU) does not satisfy the condition of the quality standard (pre-set quality standard) corresponding to the identified specific area (i.e., the condition that ATP is less than 200 RLU), and thus the result of the quality evaluation for the specific area is 'quality not satisfied (or quality not met)'. The performance evaluation department (15) can determine the result of the quality evaluation for the area as ‘quality satisfied’ if the ATP measurement value meets the conditions of the quality standard for the area.

[0164] For reference, ATP (Adenosine Triphosphate) can refer to a scientific indicator that measures the actual degree of contamination. RLU (Relative Light Unit) refers to a numerical unit that displays the results of the ATP measurement and can be understood as a unit that quantifies the quality of work (e.g., cleaning work). The aforementioned ATP measuring device may be, for example, a luminometer, or may be referred to by other terms such as ATP measuring equipment.

[0165] The performance evaluation unit (15) can provide the worker's facility management performance evaluation data, including the result information of the time evaluation by management area derived through the performance of the time evaluation (step 1) and the result information of the quality evaluation by management area derived through the performance of the quality evaluation (step 2), to the manager terminal (20) so that the manager can verify it.

[0166] In addition, if the performance evaluation unit (15) determines (identifies) that there are some managed areas among the managed areas where the quality evaluation result is 'quality unsatisfactory (quality substandard),' in response to the above determination, it can automatically generate quality unsatisfactory notification information, such as information indicating that some managed areas do not meet the quality standards, and then automatically transmit (provide) it to the manager terminal (20) or worker terminal (30).

[0167] This performance evaluation unit (15) can provide information regarding the quality non-compliance notification information or the results of the time evaluation directly to the worker terminal (30), so that when the quality of a specific management target area is substandard or the standard work time is not met (work neglect is detected) and work needs to be performed again for that specific management target area, the manager (or supervisor) can automatically give instructions to the worker without the need for the worker to give instructions directly.

[0168] In addition, for example, the performance evaluation department (15) can calculate the total time spent by the worker during the pre-set period based on the work log data of the worker obtained during the pre-set period (day, month, contract period, etc.), and by comparing the calculated total time spent with the standard man-hours specified in the contract for the worker or the target man-hours set by the manager, it can perform verification of whether the work (task) of the worker contracted in the contract has been performed (i.e., verification of contract performance).

[0169] Here, the above-mentioned preset period may be a period previously set by the manager, and may be a period set based on, for example, days, months, contract periods (contract periods in the contract), etc. The above-mentioned man-hour refers to the amount of labor performed by one person in one hour, and for example, if one person works for 5 hours, it may be 5 man-hours.

[0170] The performance evaluation department (15) can provide a verification means that can legally and objectively verify, based on objective data, whether the contracted task (e.g., 500 man-hours per month) for the worker has been properly performed through the above verification.

[0171] The control unit (16) can control the operation of the device (10), and in particular, can control the operation of each unit (e.g., construction unit, database unit, acquisition unit, judgment unit, performance evaluation unit) included in the device (10). Additionally, the control unit (16) can control the operation of each of the multiple location identifiers included in the manager terminal (20), worker terminal (30), and management target facility (7) that are linked to the device (10) through the network (5).

[0172] Meanwhile, in the example of the present invention described above, when the judgment unit (14) determines whether there is an abnormal sign, when the type of heterogeneity of the work in the area (first area) corresponding to the work log data is a task, the calculated dwell time (△t) is the standard corresponding time (T std_taskIt was exemplified that if X α is smaller, it is judged to be an abnormal sign of neglect of work (especially neglect of work due to insufficient work density), but it is not limited to this.

[0173] For example, if an "exception rule" is applied to the area in question, the judgment unit (14) does not judge this as an abnormal sign of negligence of duty even if the calculated stay time is shorter than the standard response time, and by applying the exception rule, the time corresponding to the difference between the stay time and the standard response time can be calculated as the time saved (reduced) for performing the work. Afterwards, the judgment unit (14) can provide (transmit) information regarding the calculated time saved to, for example, the performance evaluation unit (15). Afterwards, the performance evaluation unit (15) can automatically calculate an incentive corresponding to the time saved based on the calculated time saved and display it on the screens of the manager terminal (20) and the worker terminal (30). In addition, the performance evaluation unit (15) can control the operation of the manager terminal (20) so that the manager can pay the compensation amount corresponding to the calculated incentive to the worker.

[0174] Specifically, in relation to the above exception rule, the judgment unit (14) determines the above standard response time (T std_task Even if the dwell time (△t) calculated in comparison to ) appears small, only when the area corresponding to the above business log data (Zone 1) is registered as an area where business improvement or innovation activities are officially approved (e.g., introduction of dry cleaning method), considering that the above standard response time is a value calculated based on the existing work method, the reduction in the above dwell time (△t) (i.e., T std_task - The time corresponding to △t) can be calculated as the above-mentioned time saved. This above-mentioned time saved may refer to the time determined to be a quantifiable improvement in work efficiency resulting from the worker's improvement activities.

[0175] In such a case, the judgment unit (14) does not judge the above reduction (time saved) as an abnormal sign corresponding to negligence of work, and can provide it as basic data for calculating an incentive proportional to the saved time (time saved) in conjunction with the performance evaluation unit (15).

[0176] That is, the judgment unit (14), in relation to the area corresponding to the work log data (e.g., the first area), even if the area is a work area where the type of heterogeneity of work corresponds to a task, i) if the area (the first area) is a general work area that has not been pre-approved by a manager as a work improvement innovation area (i.e., a area for work improvement activities or innovation activities), if the dwell time is shorter than the standard response time, it is judged as an abnormal sign corresponding to work neglect, and ii) if the area is a work area that has been pre-approved by a manager as a work improvement innovation area (i.e., a area officially designated as a work improvement innovation area), the reduction of the dwell time (i.e., the calculated time saved) is not an abnormal sign, and is judged (recognized) as a legitimate saving achievement resulting from work efficiency improvement, and such calculated time saved can be reflected in the calculation of incentives.

[0177] In summary, the judgment unit (14) can determine that when a specific area (e.g., the first area) is a general work area, the response standard time is 20 minutes, but the actual time of stay of the worker is 10 minutes, according to the basic rule, that the work was not performed properly (i.e., work deviation, neglect).

[0178] However, the judgment unit (14) may exceptionally calculate the reduction in standard time as an incentive only when it is caused by "innovation (improvement activity)." For example, if the introduction of dry cleaning for the aforementioned specific area allows a task that previously took 20 minutes to be completed in 10 minutes, since this is a change in the work process itself, the judgment unit (14) may not apply the existing corresponding standard time as is, but instead recognize the existing "standard time 20 minutes vs. actual 10 minutes" as "reduced 10 minutes = innovation achievement" and control the reduction time to be generated as an incentive. In this case, it may be recognized as "work innovation (improvement)" rather than "neglect of work."

[0179] In this case, for incentives to be generated for a specific zone, an innovation approval process must be carried out for that specific zone, and through the execution of this innovation approval process, that specific zone can be established (recognized, designated) as a zone to which exception provisions apply (i.e., a business improvement innovation zone resulting from the application of exception provisions).

[0180] At this time, the innovation approval process may be configured to include a first step in which a worker proposes an innovation plan to a manager, such as "time can be saved by introducing dry cleaning," a second step in which the manager approves the proposed innovation plan, a third step in which the standard time of the corresponding area included in the database unit (12) is classified / stored and managed as "innovation in progress" in relation to the area corresponding to the innovation plan, a fourth step in which the time saved is automatically calculated as an incentive when the worker's time spent in the area corresponding to the innovation plan is calculated, and a fifth step in which the standard time of the corresponding area included in the database unit (12) is redefined when the innovation plan is officially applied.

[0181] According to the above description, the device (10) can 1) build and manage a DB by separating tasks into heterogeneous attributes called Task and Route, 2) calculate the absolute dwell time (△t) of a worker using a 'Pair Tag', and 3) call data (i.e., matching area detailed setting information) already stored in the database unit (12) regarding the area where the dwell time is calculated, and in particular, even for the same area, it can automatically call different standard times / error coefficients / quality standards / SOPs, etc. according to the 'performance situation (Context) (e.g., morning setup, afternoon maintenance),' and then 3) identify 'abnormal signs' and verify 'contract fulfillment' by comparing and analyzing the corresponding standard time (dynamic standard time, calculated by multiplying the standard time and the error coefficient) calculated through the called data with the calculated dwell time (△t).

[0182] This device (10) provides a ‘dynamic’ algorithm specialized for ‘facility management’ sites that is qualitatively different from a fixed evaluation method, and can provide a unique ‘software algorithm’ and ‘data processing method’ that is verified by ‘data’ without ‘direct command’.

[0183] That is, the device (10) can provide technology for verifying the fulfillment of a contract for building cleaning management through the analysis of a dynamic standard time DB for different types and situations, and to this end, it may include a construction unit (11) for constructing a database unit (12) containing standard times for each zone within a facility under management (7), an acquisition unit (13) for acquiring work log data of a worker in the facility under management (7); and a judgment unit (14) for determining whether there is an abnormal sign by comparing the worker's stay time calculated by analyzing the work log data with the corresponding standard time corresponding to the work log data in the database unit.

[0184] In addition, the database unit (12) can store situational dynamic standard times mapped to different standard times according to a context that includes at least one of a cycle, time zone, and day of the week, even if they are in the same area.

[0185] In addition, the judgment unit (14) can determine whether there is an abnormal sign by identifying the type of heterogeneity (task or route) and current situation information (information of the current situation type) of the area where the worker is located from the work log data, and by calling the standard time that matches all of the identified area (area where the worker is located), the type of heterogeneity, and the current situation information from the database unit (12) as the corresponding standard time and comparing it with the dwell time.

[0186] Additionally, the judgment unit may determine that when the identified heterogeneous dependency type is 'Task', the dwell time is less than the corresponding standard time (in particular, the corresponding standard time which is the comparison reference time calculated by multiplying the standard time that matches all of them by a first error coefficient (α)) as an abnormal sign due to insufficient work density, and when the identified heterogeneous dependency type is 'Route', the dwell time exceeds the corresponding standard time (in particular, the corresponding standard time which is the comparison reference time calculated by multiplying the standard time that matches all of them by a second error coefficient (β)) as an abnormal sign due to movement delay.

[0187] The device (10) can provide various effects and business value including the following 1) to 5) by providing the above-described service.

[0188] 1) By providing this service, the device (10) can enable a transition to 'scientific / quantitative management,' and in particular, eliminate the manager's 'estimation' and enable quality management using objective data such as t and standard work time.

[0189] 2) By providing this service, the device (10) can provide a means of legal contract management in the era of the Yellow Envelope Law, and in particular, can prevent the legal risk of a manager, who is ‘A’ or ‘C’ (supervisor), ‘directly directing’ a worker, who is an employee of ‘B’.

[0190] In addition, by providing the service, the device (10) allows the administrator, who is 'Party A', to "500 man-hours per month (T std Whether the worker, who is the ‘contracted performance’ of ” has performed it can be verified through automatic verification based on the worker’s total stay time (i.e., total t sum data) in the device (10), and payment can be made to the worker based on the verification results, thereby enabling the manager to perform a legitimate inspection rather than ‘command’ to the worker.

[0191] 3) By providing this service, the device (10) can provide a fair 'gainsharing' platform, and in particular, exemplarily, the standard response time for a worker to innovation (e.g., dry cleaning) is 20 minutes (T std For example, when a specific work area (20 minutes) is completed in 10 minutes, the ‘10 minutes saved’ saved by the worker can be automatically calculated as a ‘quantified incentive,’ and the manager can provide the worker with a compensation amount corresponding to the calculated incentive. This device (10) prevents the manager, who is the main company, from monopolizing profits and allows incentives to be distributed to the ‘field’ according to the contract, thereby inducing continuous ‘development proposals’ from the field.

[0192] 4) By providing this service, the device (10) can prove the ‘skills’ of elderly workers, and, for example, can prove the proficiency of workers (workers) with ‘data’ such as “98% standard time compliance rate” rather than “age” such as “70 years old,” and through this, can be used as basic data for a fair labor market where one can be employed regardless of age as long as they have ‘skills’.

[0193] 5) By providing this service, the device (10) can contribute to the acceleration of DX and robot adoption in the cleaning industry, and in particular, the Task (human / judgment) and Route (robot / repetition) data accumulated in the system (100) can be provided and utilized as essential standard data for future 'human-robot collaboration (Cobot)' models.

[0194] Below, we will briefly examine the operation flow of the present invention based on the details described above.

[0195] FIG. 3 is an operation flowchart of a facility management performance evaluation method according to an embodiment of the present invention.

[0196] The facility management performance evaluation method illustrated in FIG. 3 can be performed by the device (10) described above. Therefore, even if the content is omitted below, the description of the device (10) can be applied equally to the description of the facility management performance evaluation method.

[0197] Referring to FIG. 3, in step S11, the acquisition unit can acquire work log data of a worker at a facility under management.

[0198] Next, in step S12, the judgment unit can determine whether there are abnormal signs by comparing the worker's dwell time calculated by analyzing the above work log data with the corresponding standard time corresponding to the work log data in the database unit.

[0199] Next, in step S13, the performance evaluation department can evaluate the facility management performance of the worker for the facility under management based on the result of the above judgment.

[0200] In the description above, steps S11 to S13 may be further divided into additional steps or combined into fewer steps, depending on an embodiment of the present invention. Additionally, some steps may be omitted as necessary, and the order between steps may be changed.

[0201] A method for evaluating facility management performance according to one embodiment of the present invention may be implemented in the form of program instructions that can be executed through various computer means and recorded on a computer-readable medium. The computer-readable medium may include program instructions, data files, data structures, etc., either individually or in combination. The program instructions recorded on the medium may be those specifically designed and configured for the present invention, or they may be those known and available to those skilled in the art of computer software. Examples of computer-readable recording media include magnetic media such as hard disks, floppy disks, and magnetic tapes; optical recording media such as CD-ROMs and DVDs; magneto-optical media such as floptical disks; and hardware devices specifically configured to store and execute program instructions, such as ROM, RAM, and flash memory. Examples of program instructions include machine code, such as that generated by a compiler, as well as high-level language code that can be executed by a computer using an interpreter, etc. The hardware device may be configured to operate as one or more software modules to perform the operation of the present invention, and vice versa.

[0202] In addition, the aforementioned facility management performance evaluation method can also be implemented in the form of a computer program or application executed by a computer stored on a recording medium.

[0203] The foregoing description of the present invention is for illustrative purposes only, and those skilled in the art will understand that other specific forms can be easily modified without altering the technical spirit or essential features of the present invention. Therefore, the embodiments described above should be understood as illustrative in all respects and not restrictive. For example, each component described as a single unit may be implemented in a distributed manner, and components described as distributed may likewise be implemented in a combined form.

[0204] The scope of the present invention is defined by the claims set forth below rather than by the detailed description above, and all modifications or variations derived from the meaning and scope of the claims and equivalent concepts thereof should be interpreted as being included within the scope of the present invention.

Claims

Claim 1 As a contract performance verification device for building cleaning management, a construction unit that constructs a database unit containing standard times for each zone within a facility under management; an acquisition unit that acquires work log data of a worker in the facility under management; and a judgment unit that determines whether there are signs of an anomaly by comparing the worker's residence time calculated by analyzing the work log data with the corresponding standard time corresponding to the work log data in the database unit. The judgment unit includes a performance evaluation unit that evaluates the facility management performance of a worker for a managed facility based on the result of the judgment derived from the judgment unit, and the judgment unit identifies identification data including the zone identifier, current situation information, and type of heterogeneity of the zone where the dwell time is calculated from the work log data through the analysis of the work log data, and based on the identification data, calls the zone detailed setting information that matches the identification data among the zone-specific zone detailed setting information stored in the database unit, calculates a comparison reference time by multiplying the standard time and the error coefficient included in the called zone detailed setting information, derives the calculated comparison reference time as the corresponding standard time corresponding to the work log data, and when determining whether there is an abnormal sign, makes a judgment by considering the type of heterogeneity of the work of the zone corresponding to the work log data, wherein when the type of heterogeneity is a task, if the dwell time is shorter than the corresponding standard time, it is determined to be an abnormal sign of work neglect, and when the type of heterogeneity is a route, if the dwell time is shorter than the corresponding standard time If large, it is determined to be an abnormal sign of dereliction of duty, and the above database stores a zone-specific standard time, which is a dynamic standard time set to dynamically change according to at least one of a type of heterogeneity, which is a work attribute for each zone, a situation type including at least one of a rotation cycle, a day of the week, and a time zone, and a management variable, and the contract performance verification device for the building cleaning management compares and analyzes the worker's residence time calculated from the above work log data with the above dynamic standard time,It enables automatic verification of work integrity regarding whether a worker's work has been performed faithfully according to contracted standards without the intervention of subjective human judgment, and by controlling the process so that after a time evaluation related to integrity is performed through the judgment unit, a quality evaluation using measuring equipment capable of measuring the actual degree of contamination is performed on the areas where work was performed by the worker, thereby verifying whether the contracted work has been fulfilled; the construction unit provides an area registration screen to an administrator terminal for the construction of a database unit, and through the area registration screen, enables the administrator to register, set, and modify area setting data for each of the multiple areas within the managed facility where facility management is to be performed; additionally, it provides a situation setting screen to an administrator terminal, and through the situation setting screen, enables the administrator to register, set, and modify situation setting data for each of the multiple areas; the area setting data includes information on the area identifier, area name, type of heterogeneity, and management variable for each area, and the type of heterogeneity determines whether the work attribute of the area is a task area where work is performed, including restrooms, or whether it is a simple movement area including corridors It refers to heterogeneous attribute information regarding whether it is a movement (Route) zone where the activity takes place, and the above management variable is information regarding factors that influence the setting of the standard time for a specific task when a worker performs a specific task in the zone, and includes the number of urinals and toilets and the number of washbasins when the zone is a restroom, and the above situation setting data includes the above situation type, which refers to the type of the task performance situation, and standard setting data corresponding to the above situation type, and the cycle number within the above situation type includes at least one of the 1st cycle, 2nd cycle, 3rd cycle, and always, and the above standard setting data includes T, which is the standard time corresponding to the situation type, std ..., including error coefficients, quality standards, and standard operating procedures; the standard time is a reference work execution time required for a task corresponding to a type of heterogeneity to be performed normally in the relevant area, which is pre-set and stored in the database; the error coefficient is a correction factor for reflecting at least one of the worker's execution speed, environmental variation factors, and facility size when applying the standard time, and is set to different values ​​depending on at least one of the situation type and the type of heterogeneity, even within the same area; the quality standard is an evaluation standard for determining whether the execution result for the relevant area or task has been completed normally, and includes at least one of task-specific inspection items, evaluation methods, and required levels; the standard operating procedure is an operation manual containing information on step-by-step procedures that must be observed for the execution of tasks by relevant area or task type; and the construction unit, based on manager input data including the zone setting data and situation setting data received from the manager terminal, does not map the standard time to each of the multiple zones within the managed facility on a 1:1 basis, but rather, even within the same area, [it] [maps] the relevant area set by the manager Different standard times, different error coefficients, different quality standards, and different standard operating procedures are mapped according to the situation type and stored in the situation-specific dynamic standard DB within the database unit for management, wherein when applying different standard times to the first zone among multiple zones, the standard time is set as the first time when the situation type for the same first zone is the first situation corresponding to the first cycle, and the standard time is set as the second time, which is shorter than the first time, when the situation type for the same first zone is the second situation corresponding to the second or third cycle; and the acquisition unit, after the database is established, responds to the recognition of a worker terminal of a location identifier installed in each of the multiple zones within the managed facility,The work log data is obtained from at least one of the above-mentioned worker terminal and location identifier, and the location identifier is provided in pairs for each zone and is installed at the entrance and exit points of the zone, respectively, and stores location identifier information including a location identifier ID, a zone identifier and zone name of the zone where the location identifier is installed, and installation location information indicating whether the location identifier is installed at the entrance point or the exit point; the work log data includes the terminal ID of the worker terminal, the location identifier information, current situation information including at least one of the current cycle, time zone, and day of the week, and time information when recognition of the location identifier is made; the acquisition unit obtains first work log data including the entry time for the zone in response to recognition of the location identifier installed at the entrance point of the zone into which the worker enters to perform work, and obtains second work log data including the exit time for the zone in response to recognition of the location identifier installed at the exit point after the worker completes work in the zone, and the work log data including the first work log data and the second work log data is used by the worker to perform work Acquired for each of the multiple zones being performed, and the judgment unit, when the abnormal sign is determined, generates an abnormal sign detection notification and provides it to at least one of the administrator terminal and the worker terminal, and if it is analyzed that work log data corresponding to the zone assigned to the worker has not been acquired, it is determined that the worker terminal's recognition of the location identifier in the assigned zone is missing, and generates a missing notification and provides it to the worker terminal, wherein the missing notification includes at least one of the zone name and zone identifier information for the zone where the missing occurred, and the performance evaluation unit, when evaluating the facility management performance, performs Step 1 corresponding to the time evaluation and Step 2 corresponding to the quality evaluation, and based on the judgment result regarding the presence of an abnormal sign derived from the judgment unit,A time evaluation is performed for each management area previously assigned to a worker, and a quality evaluation is performed for management areas where the time evaluation result is determined to be satisfactory. When performing the time evaluation, if the judgment unit determines that an abnormal sign has occurred for a specific management area, it is determined that the worker's work performance time in that management area falls short of the corresponding standard time, and the time evaluation result for that management area is determined to be unsatisfactory. If the judgment result determines that no abnormal sign has occurred, it is determined that the worker's work performance time in that management area meets the corresponding standard time, and the time evaluation result for that management area is determined to be satisfactory. The results of the time evaluation are provided to the manager terminal and the worker terminal. When performing the quality evaluation, the ATP (Adenosine Triphosphate) measurement value for each management area input through the manager terminal is obtained, and the ATP measurement value is compared with the quality standard information for each management area previously stored in the database to determine whether the quality is satisfied for each management area. The time evaluation result for each management area derived through the time evaluation in Step 1 and the quality evaluation for each management area derived through Step 2 Worker facility management performance evaluation data, including quality evaluation results, is provided to a manager terminal so that a manager can verify it; wherein, if there are some managed areas among the managed areas that are judged to be non-compliant with quality standards based on the quality evaluation results, quality non-compliance notification information indicating that said some managed areas do not meet quality standards is automatically generated and provided to a manager terminal or a worker terminal; and by providing the evaluation results including said quality non-compliance notification information directly to the worker terminal, when it is necessary for a worker to re-perform work for a managed area where the standard work time was not met or a managed area that did not meet quality standards, instructions are automatically issued by the performance evaluation unit without the need for direct instructions from a manager or supervisor; additionally,In order to enable objective verification of whether the contracted work performed by the worker has been properly executed, the total time spent by the worker within the managed facility during a pre-set period is calculated based on the worker's work log data acquired during the pre-set period, and the status of whether the contracted worker's work has been performed is verified by comparing the calculated total time spent with the standard man-hours specified in the contract previously drawn up for the worker or the target man-hours set by the manager. Additionally, if an exception clause applies to the area corresponding to the work log data, the judgment unit does not judge this as an abnormal sign of dereliction of duty even if the time spent calculated based on the work log data is shorter than the corresponding standard time, and calculates the time corresponding to the difference between the time spent and the corresponding standard time as the time saved due to the reduction in work performance time, and provides information on the calculated time saved to the performance evaluation unit. Furthermore, if the exception clause applies, and only if the area corresponding to the work log data is registered as a work improvement innovation zone where work improvement activities or innovation activities have been officially approved, the time corresponding to the reduction in the time spent is the Calculated as time saved, and even if the type of heterogeneity of the area corresponding to the above business log data is a work area corresponding to a task, if the said work area is a general work area that has not been pre-approved by a manager as a business improvement innovation area, if the said dwell time is shorter than the said corresponding standard time, it is judged as an abnormal sign corresponding to work neglect; and if the said work area is a business improvement innovation area pre-approved by a manager, the said time saved resulting from the reduction of the said dwell time is judged as a saving achievement resulting from improved business efficiency rather than an abnormal sign corresponding to work neglect; and if an innovation approval process is performed to set a specific area as an area to which exception rules apply, the said specific area is set as an area to which exception rules apply,In accordance with the innovation approval process described above, if the area corresponding to the innovation proposal is set as an area to which exception rules apply, the standard time of the corresponding area within the database is classified and stored as an innovation in progress state; subsequently, when the worker's dwell time for the area corresponding to the innovation proposal is calculated, the time saved corresponding to the difference between the corresponding standard time and the dwell time is calculated and provided to the performance evaluation unit; the innovation approval process is configured to include a process in which a worker proposes an innovation proposal capable of saving time to a manager; a process in which the manager approves the innovation proposal; a process in which the standard time of the area corresponding to the innovation proposal is classified, stored, and managed in the database as an innovation in progress state; a process in which, when the worker's dwell time for the area corresponding to the innovation proposal is calculated, the time saved is used for incentive calculation; and a process in which the standard time of the corresponding area stored in the database is redefined upon the formal application of the innovation proposal; and the performance evaluation unit automatically calculates an incentive corresponding to the time saved based on the time saved provided by the judgment unit, displays the incentive on the screens of the manager terminal and the worker terminal, and controls the operation of the manager terminal so that the manager can pay the compensation amount corresponding to the incentive to the worker. This constitutes the execution of a contract for building cleaning management. Verification device. Claim 2 delete Claim 3 delete Claim 4 delete Claim 5 delete Claim 6 A method for verifying contract performance of building cleaning management by a contract performance verification device for building cleaning management according to claim 1, comprising: a step of acquiring work log data of a worker in a facility under management in an acquisition unit; a step of determining whether there is an abnormal sign in a judgment unit by comparing the worker's residence time calculated by analyzing the work log data with the corresponding standard time corresponding to the work log data in a database unit; and a step of evaluating the facility management performance of a worker for a facility under management in a performance evaluation unit based on the result of the judgment.

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