CN112561218A - Working environment quality evaluation method and system based on working efficiency suitable environment index - Google Patents

Working environment quality evaluation method and system based on working efficiency suitable environment index Download PDF

Info

Publication number
CN112561218A
CN112561218A CN201910910348.7A CN201910910348A CN112561218A CN 112561218 A CN112561218 A CN 112561218A CN 201910910348 A CN201910910348 A CN 201910910348A CN 112561218 A CN112561218 A CN 112561218A
Authority
CN
China
Prior art keywords
parameters
index
model
influence
parameter
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Pending
Application number
CN201910910348.7A
Other languages
Chinese (zh)
Inventor
朱春
刘思坦
王丽娜
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Shanghai Dst Technoloyg Co ltd
Shanghai Dst Intelligent Technology Co ltd
Original Assignee
Shanghai Dst Technoloyg Co ltd
Shanghai Dst Intelligent Technology Co ltd
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Shanghai Dst Technoloyg Co ltd, Shanghai Dst Intelligent Technology Co ltd filed Critical Shanghai Dst Technoloyg Co ltd
Priority to CN201910910348.7A priority Critical patent/CN112561218A/en
Publication of CN112561218A publication Critical patent/CN112561218A/en
Pending legal-status Critical Current

Links

Images

Classifications

    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00—Administration; Management
    • G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
    • G06Q10/063—Operations research, analysis or management
    • G06Q10/0639—Performance analysis of employees; Performance analysis of enterprise or organisation operations
    • G06Q10/06393—Score-carding, benchmarking or key performance indicator [KPI] analysis

Landscapes

  • Business, Economics & Management (AREA)
  • Human Resources & Organizations (AREA)
  • Engineering & Computer Science (AREA)
  • Strategic Management (AREA)
  • Development Economics (AREA)
  • Economics (AREA)
  • Entrepreneurship & Innovation (AREA)
  • Educational Administration (AREA)
  • Operations Research (AREA)
  • Marketing (AREA)
  • Game Theory and Decision Science (AREA)
  • Quality & Reliability (AREA)
  • Tourism & Hospitality (AREA)
  • Physics & Mathematics (AREA)
  • General Business, Economics & Management (AREA)
  • General Physics & Mathematics (AREA)
  • Theoretical Computer Science (AREA)
  • Air Conditioning Control Device (AREA)

Abstract

The invention provides a working environment quality evaluation method and a working environment quality evaluation system based on a working efficiency suitable environment index, wherein the method comprises the following steps: collecting environmental information, the environmental information including measurements indicative of a plurality of parameters associated with operating efficiency in an environment, wherein the plurality of parameters includes: illuminance, noise, temperature, Relative Humidity (RH) of air, fine Particulate Matter (PM)2.5) Formaldehyde, and Total Volatile Organic Compounds (TVOC); evaluating the environmental information through a working environment quality evaluation model to determine the grade of the environment suitable for working, wherein the working environment quality evaluation model comprises an influence index model, an influence weight coefficient model and a weighting index of each parameter of a plurality of parameters, or acquiring the most adverse factor of the plurality of parameters according to the influence index model and the influence weight coefficient model of each parameter; and displaying the measured values of the plurality of parameters and the rating, or at least one of the worst factors, on a graphical user interface.

Description

Working environment quality evaluation method and system based on working efficiency suitable environment index
Technical Field
The invention relates to the field of environmental monitoring, in particular to a working environment quality evaluation method and system based on a working efficiency suitable environment index.
Background
Currently, the indoor environment affects the physical and mental health of residents, and concerns the welfare of the quality of life of people. Research shows that good indoor environment quality can make people happy, can effectively improve personnel's work efficiency, builds the work atmosphere that has creativity to promote considerable economic benefits for enterprise/company. In the related indoor environment standards, reference is mainly made to indoor air quality standard (GB/T18883-. In addition, design requirements of a building sound environment and a building light environment are respectively proposed by a civil building sound insulation design specification (GB 50118-. In actual use, it is difficult to make a full performance evaluation of the indoor environment according to these standards.
On one hand, the test cost of all the indoor environmental parameters is high, and the time period is long; on the other hand, the test method given in the standard is mainly a passive sampling method, and can only reflect the environmental quality of a sampling time node, but cannot reflect the real-time environmental quality of a building in the use process (for example, indoor noise changes in real time along with outdoor environmental noise, and the long-term indoor sound environmental level is difficult to reflect by using noise detection equipment). More importantly, the limit or range of the indoor environment index given by the above standard is an acceptable indoor environment quality level, and a suitable environment state which can drive the staff to improve the working efficiency cannot be judged.
Disclosure of Invention
To solve the above problems. The application provides a working Environment quality evaluation method and system based on an Indoor Environment quality comprehensive Index IPEI (Indoor working efficiency suitable Environment Index) influencing working efficiency of personnel, and the suitability level of the Indoor Environment quality to the working efficiency of the personnel is evaluated in real time through the Index.
In a first aspect, the present application provides a method for evaluating quality of a work environment, the method comprising: collecting environmental information including measurements indicative of a plurality of parameters associated with work efficiency in an environmentWherein the plurality of parameters comprises: illuminance, noise, temperature, Relative Humidity (RH) of air, fine Particulate Matter (PM)2.5) Formaldehyde, and Total Volatile Organic Compounds (TVOC);
evaluating the environment information through a working environment quality evaluation model to determine the level of the environment suitable for working, wherein the working environment quality evaluation model comprises an influence index model, an influence weight coefficient model and a weighting index of each parameter of the multiple parameters, or acquiring the most adverse factor of the multiple parameters according to the influence index model and the influence weight coefficient model of each parameter; and
displaying the measured values of the plurality of parameters and the grade, or at least one of the worst factors, on a graphical user interface.
According to the first aspect, the evaluating the environmental information by the working environment quality evaluation model, and the determining the level of suitability of the environment for working further comprises:
obtaining an impact index for each of the plurality of parameters based on the impact index model for each of the plurality of parameters;
obtaining the weighted index of each parameter according to the influence index of each parameter and the influence weight coefficient of each parameter, wherein the influence weight coefficient is determined based on the influence weight coefficient model;
summing the weighted index for each of the plurality of parameters to obtain a working environment quality assessment index; and
and comparing the working environment quality evaluation index with a threshold value to determine the grade.
According to the first aspect, obtaining the worst factor of the plurality of parameters according to the influence index model and the influence weight coefficient model of each parameter further comprises:
in the case where the influence index of at least one of the plurality of parameters is smaller than a predetermined threshold value, an environmental influence factor of each of the parameters is calculated from the influence index and the influence weight coefficient, and
determining the worst factor from the environmental impact factors for each of the parameters.
According to a first aspect, the influence index model further comprises:
Figure BDA0002214511840000021
wherein HiRepresenting the influence index, C, corresponding to each parameter i of the multiple parametersiRepresents the measured value, SP, of the monitoring of said respective parameter iHiIs represented by CiHigh value of the measurement interval in which it is located, SPLoIs represented by CiLow value of the measurement interval in which it is located, HPHiRepresentation and the SPLoScore high value, HP, in the corresponding score intervalLoRepresentation and the SPHiThe low value of the score in the corresponding score interval.
According to the first aspect, the influence weight coefficient model further comprises:
Figure BDA0002214511840000031
wherein, KiRepresenting a weight coefficient corresponding to each of the plurality of parameters, i representing any of the plurality of parameters, SiAnd the number of the various parameters is represented by N.
According to the first aspect, the weighted index further comprises:
Ii＝Hi×Ki
wherein, IiRepresents a weighted index, H, corresponding to each of the plurality of parametersiExpressing the influence index, K, corresponding to each of the plurality of parametersiAnd i represents any one of the plurality of parameters.
According to the first aspect, the work environment quality assessment model further comprises:
Figure BDA0002214511840000032
wherein I represents a work environment quality evaluation index, IiAnd the weighting indexes corresponding to the parameters in the multiple parameters are represented, i represents any one of the multiple parameters, and N represents the number of the multiple parameters.
According to the first aspect, obtaining the worst factor of the plurality of parameters further comprises:
PFi＝(100-Hi)×Ki
PFmax＝{PF1,PF2,…,PFi,…,PFN}
wherein, PFiAn environmental impact factor, PF, representing each of said parametersmaxThe most unfavorable factor, H, of the plurality of parametersiExpressing the influence index, K, corresponding to each of the plurality of parametersiAnd the weighting coefficients corresponding to the parameters in the plurality of parameters are represented, i represents any one of the parameters, and N represents the number of the parameters.
In a second aspect, the present application provides a work environment quality assessment system, including:
a processor;
a computer-readable storage medium communicatively connected to the processor and storing instructions for execution by the processor; and
the instructions, when executed by the processor, cause the work environment quality assessment system to:
collecting environmental information including measurements indicative of a plurality of parameters associated with operating efficiency in an environment, wherein the plurality of parameters include: illuminance, noise, temperature, Relative Humidity (RH) of air, fine Particulate Matter (PM)2.5) Formaldehyde, and Total Volatile Organic Compounds (TVOC);
evaluating the environment information through a working environment quality evaluation model to determine the level of the environment suitable for working, wherein the working environment quality evaluation model comprises an influence index model, an influence weight coefficient model and a weighting index of each parameter of the multiple parameters, or acquiring the most adverse factor of the multiple parameters according to the influence index model and the influence weight coefficient model of each parameter; and
displaying the measured values of the plurality of parameters and the grade, or at least one of the worst factors, on a graphical user interface.
According to a second aspect, the system further comprises a monitoring device communicatively connected with the processor, the monitoring device comprising:
one or more sensors for detecting the plurality of parameters in the environmental information;
a transceiving unit to transmit the plurality of parameters for the measurement of the environment to the system via a wireless network.
Compared with the prior art, the implementation mode of the application has the main differences and the effects that: the method is characterized in that an online sensor monitoring system is used for testing indoor environment parameters, indoor environment quality is evaluated in real time, and the influence level of environmental factors on working efficiency is effectively indicated and identified according to the correlation between the environment parameters and the working efficiency on the basis of a Weber-Fischna (W-F) law model algorithm, so that a basis is provided for implementing environmental pollution prevention and control measures.
Drawings
FIG. 1 shows a schematic diagram of an example system according to an embodiment of the invention.
FIG. 2 shows a flow diagram of a work environment quality assessment system according to an embodiment of the invention.
Detailed Description
In order to make the purpose and technical solution of the embodiments of the present invention clearer, the technical solution of the embodiments of the present invention will be clearly and completely described below with reference to the drawings of the embodiments of the present invention. It is to be understood that the embodiments described are only a few embodiments of the present invention, and not all embodiments. All other embodiments, which can be derived by a person skilled in the art from the described embodiments of the invention without any inventive step, are within the scope of protection of the invention.
In accordance with an embodiment of the present invention, there is provided an embodiment of a work environment quality assessment system, it is noted that the steps illustrated in the flowchart of the drawings may be performed in a computer system such as a set of computer executable instructions, and that while a logical order is illustrated in the flowchart, in some cases the steps illustrated or described may be performed in an order different than presented herein.
According to some embodiments, the method utilizes an online air sensor monitoring device to test real-time data of indoor heat, sound and light and related typical parameters of air quality, combines the influence degree of each single parameter on the working efficiency of personnel, sets working efficiency influence factors of various parameter indexes, and utilizes a model algorithm to comprehensively evaluate the indoor typical environment parameter indexes to obtain an indoor environment index describing the working efficiency suitability of the personnel. And establishing a suitable environment quality grade of the indoor working efficiency, and giving an indoor worst environment quality parameter index influencing the working efficiency when the indoor environment quality grade is unqualified. The indoor working efficiency adaptive environment index (IPEI) and the indoor most adverse environment influence factors (if any) are evaluated and output by an online air sensor monitoring system in real time so as to directly represent the suitability level of the indoor environment to the working efficiency of personnel at all times.
The method embodiments provided in the manner of this application may be executed in a computing system. FIG. 1 is a block diagram of a computing system for quality assessment of a work environment according to an embodiment of the present invention. As shown in fig. 1, computing system 100 may include one or more (only one shown) processors 101 (processor 101 may include, but is not limited to, a processing device such as a central processing unit CPU, an image processor GPU, a digital signal processor DSP, a microprocessor MCU, or a programmable logic device FPGA), a bus 102, a memory 103 for storing data, a communication interface 104 for communication functions, and a monitoring device 105 and a display device 106 communicatively connected to communication interface 104. It will be understood by those skilled in the art that the structure shown in fig. 1 is only an illustration and is not intended to limit the structure of the electronic device. For example, computing system 100 may also include more or fewer components than shown in FIG. 1, or have a different configuration than shown in FIG. 1.
The memory 103 may be configured to store a database, a queue, and software programs and modules of application software, such as program instructions/modules corresponding to the working environment quality assessment method according to the embodiment of the present invention, and the processor 101 executes various functional applications and data processing by running the software programs and modules stored in the memory 103, so as to implement the working environment quality assessment method described above. The memory 103 may include high speed random access memory, and may also include non-volatile memory, such as one or more magnetic storage devices, flash memory, or other non-volatile solid-state memory. In some examples, the memory 103 may further include memory located remotely from the processor 101, which may be connected to the computing system 100 over a network. Examples of such networks include, but are not limited to, the internet, intranets, local area networks, mobile communication networks, and combinations thereof.
The communication interface 104 is used to receive and transmit data via a network, which may include various connection types, such as wired, wireless communication links, or fiber optic cables, to name a few. Specific examples of such networks may include the internet provided by a communications provider for computing system 100.
The monitoring device 105 is connected to the communication interface 104 via a wireless network. The monitoring device 105 includes one or more sensors and a transceiver unit. These sensors are used to detect various parameters associated with operating efficiency in the environment, such as light level, noise, temperature, air Relative Humidity (RH), fine Particulate Matter (PM)2.5) Formaldehyde and Total Volatile Organic Compounds (TVOC), and the like. Various embodiments of the present application have been described herein with the above 7 parameters as examples, but the systems and methods described herein may also include other environmental parameters. The transceiver unit is used for transmitting the parameters measured by the monitoring device 105 to the wireless networkTo the computing system 100.
The display device 106 may include a monitor, a touch screen with a display and manual input capabilities, and the like. Display device 106 receives display data for system 100 via communication interface 104, which may include graphical user interface configurations and various environmental information.
The drawings are for illustration purposes only and are not intended to be limiting. For example, although the figures illustrate various modules of computing system 100, they do not represent the only modules in computing system 100 or the arrangement of modules in the manner illustrated.
The functionality of the computing system 100 is described in detail below. The system 100 evaluates the quality of the work environment based on the work efficiency index based on the evaluation.
The memory 103 may store a work environment quality evaluation model further including an influence index model, an influence weight coefficient model, a weighted index model, and a worst factor model for each parameter. The memory 103 may also store a threshold level table for environmental assessment and work efficiency assessment. The working environment quality assessment model determines a level of suitability of the test environment for operation based on a threshold level table. The threshold level table may include one or more tables recording evaluation thresholds and levels corresponding to the measurement results of all parameters measured by the monitoring device 105, a rating threshold and a corresponding level of the work environment quality assessment index (i.e., the work efficiency environment index), and an indoor pollutant work efficiency factor value division standard.
In particular, in some embodiments, attached table 1 shows a range of values of credit for the operating efficiency environmental index (IPEI) and divides the appropriate operating environment quality level. This application is divided into the score full score with 100, sets up 5 grades to indoor suitable operational environment quality:
TABLE 1-work efficiency Environment adaptive index IPEI and grade division
Figure BDA0002214511840000061
Figure BDA0002214511840000071
The evaluation thresholds and levels of all the parameters of the suitability environment index having a significant influence on the work efficiency, which are measured by the monitoring device 105, can be seen in table 2 for illuminance, noise, temperature, Relative Humidity (RH), particulate matter PM2.5The evaluation threshold values of the formaldehyde and the TVOC limit the numerical range, the grading and the grade division of the corresponding subentry environmental index EI are carried out, and 5 grades are correspondingly divided for each parameter:
TABLE 2 scoring and ranking of work Efficiency Index (EI) for each parameter
Figure BDA0002214511840000072
Wherein the standard values mentioned in the table are index limit values listed in GB/T18883-2002 indoor air quality Standard, civil building Sound insulation design Specification (GB 50118-2010) and building Lighting design Standard (GB 50033-2013), such as PM2.5Formaldehyde, noise, light flux, etc.
According to some embodiments of the present application, an efficiency factor needs to be set for each environmental parameter according to the influence level of each environmental parameter on the work efficiency, so as to represent the relative weight level of each environmental parameter on the work efficiency. The efficiency factor may be set according to user requirements. As an example, the work efficiency factor K is divided into 5 scores, where 5 scores indicate that the influence of the efficiency factor is the largest, and 1 score indicates that the influence of the efficiency factor is the smallest, which is specifically shown in the attached table 10:
TABLE 10 work efficiency Environment friendly impact factor SiPartitioning
Figure BDA0002214511840000073
Figure BDA0002214511840000081
When the system 100 is running, the system 100 can monitor N indexes of the indoor environment parameters of heat, sound, light and air quality on line through the monitoring equipment 105, and the measure corresponding to each environment factor is C1,C2,...,Ci,...,CNThe parameters may include PM2.5RH, illuminance, noise, temperature, formaldehyde, CO2And TVOC, etc., the measured values may be real-time measured values or may be averages of measured values of the respective parameters over a predetermined time interval, such as an average every 10 minutes.
After the measured values of the parameters are obtained, the system 100 obtains the influence index of each parameter by using the influence index model of each parameter. In particular to a real-time measuring value C for detecting environmental parameters by utilizing monitoring equipmentiIn Table 2, the high-level values SP corresponding to the range of the hierarchical measurement interval satisfying the environmental parameterHiAnd low value SPLoAnd corresponding to the low value HP of the working efficiency environment index corresponding to the grade value interval of the environment parameter iLoAnd high value HPHiCalculating the work efficiency suitability environment index H of the environment parameter i according to the formula (1)iThe evaluation score is as follows:
Figure BDA0002214511840000082
wherein HiThe working efficiency suitable environment index of each parameter representing the environment parameter i; ciA measurement value representing the monitoring of each environmental parameter i; SPHiShows the following reaction with C in Table 2iHigh values of the measure limits of the similar environmental parameters; SPLoShows the following reaction with C in Table 2iLow values of similar pollutant measure limits; HPHiIndicates the sum of SP in the corresponding EI score interval in Table 2LoThe corresponding working efficiency is suitable for the environmental index score (high value); HPLoIndicates the sum of SP in the corresponding EI score interval in Table 2HiThe corresponding work efficiency is suitable for the environmental index score (low value).
In some embodiments, when the measure of each environmental parameter is higher than the highest measure listed in table 2 for the corresponding index, the pollution index is "burst table", and the highest measure specified by the standard takes the value, corresponding to HPLoThe score value was 0.
In some embodiments, the system 100 obtains the influence weight coefficient for each parameter according to the influence weight coefficient model for each parameter. The model is that the model is as follows,
Figure BDA0002214511840000083
wherein the weight coefficient KiAnd N represents the quantity value of the measured parameter, wherein the ratio of the efficiency factor corresponding to any one parameter i in the monitored parameters to the sum of the efficiency factors of all the monitored parameters is shown.
After obtaining the weighting coefficients of the respective parameters, their respective weighting indices IPEI may be obtained accordinglyiAs in formula (3):
IPEIi＝Hi×Ki (3)
wherein HiAnd (4) representing the influence index corresponding to the parameter i. According to weighted index IPEI of each parameter in environment informationiThe system 100 utilizes a working environment quality evaluation model, as shown in the following formula (4), to obtain a comprehensive working efficiency environment index IPEI of the current environment,
Figure BDA0002214511840000091
and then determining the corresponding working efficiency grade according to the table 1.
In some cases, H of one or more of the monitored environmental parametersiThe corresponding score number may be smaller than a predetermined fail threshold, for example, when the score is smaller than 60 minutes, it is determined that there is a fail item, which is obtained by calculating the environmental impact factor PF of each environmental index by equation (5)iAnd finding out the corresponding environmental influence factor according to the formula (6)Maximum value of (PF)maxMixing PFmaxThe corresponding environmental parameter is determined as the most adverse environmental impact factor in the room.
PFi＝(100-Hi)×Ki (5)
PFmax＝{PF1,PF2,…,PFi,…,PFN} (6)
The operating efficiency environmental index IPEI calculated from the above model, the corresponding suitable operating environment quality level in table 1, and the corresponding parameters of the worst possible environmental impact factors are output by the system 100 to the display device 106 in real time to characterize whether the monitored environment is suitable for operation during the full monitoring period.
According to the implementation mode of the application, the subentry work efficiency suitable index of each environmental parameter is calculated by describing the corresponding relation between the concentration level of each environmental parameter and the set concentration range of the corresponding pollutant, meanwhile, the weight coefficient of each parameter is set according to the influence degree of each environmental parameter on the work efficiency of personnel, the indoor work efficiency suitable environmental index (IPEI) index is finally calculated, and the indoor worst environmental parameter index is given under the environment unsuitable for the work efficiency.
According to the system of the embodiment of the application, the IPEI index, the indoor working efficiency suitable environment quality grade and the worst environment parameter index (if any) result can be output in real time, so that the indoor real-time personnel working efficiency suitable environment level can be represented, the simple identifiability of the indoor working efficiency suitable environment is realized, and effective technical support is provided for the wide popularization and application of the indoor environment sensing monitoring technology.
Under the above operating environment, the present invention provides a method for evaluating the quality of the working environment as shown in fig. 2. The method may be applied in the system 100, executed by the processor 101 in the system 100.
FIG. 2 shows a flow diagram of a method 200 for assessing the quality of a working environment according to an embodiment of the invention. As shown in fig. 2, the process flow of the method is as follows:
210. collecting environmental information, the environmental information including measurements indicative of a plurality of parameters associated with work efficiency in an environment;
220. evaluating the environment information through a working environment quality evaluation model to determine the level of the environment suitable for working;
230. the measured values of the plurality of parameters and the rating, or at least one of the worst factors, are displayed on a graphical user interface.
According to some embodiments of the present invention, indoor environmental parameters are tested by using an online monitoring device, a subentry work efficiency suitable index of each environmental parameter is calculated by describing a corresponding relationship between a concentration level of each environmental parameter and a set concentration range of a corresponding pollutant, meanwhile, a weight coefficient of each parameter is set according to the degree of influence of each environmental parameter on the work efficiency of a person, an indoor work efficiency suitable environmental index (IPEI) index is finally calculated, and an indoor most adverse environmental parameter index is given in an environment unsuitable for the work efficiency.
According to the method, the IPEI index, the indoor working efficiency suitable environment quality grade and the worst environment parameter index (if any) result can be output in real time, so that the indoor real-time personnel working efficiency suitable environment level can be represented, the simple identifiability of the indoor working efficiency suitable environment is realized, and effective technical support is provided for the wide popularization and application of the indoor environment sensing monitoring technology.
The method embodiments of the present invention may be implemented in software, magnetic, firmware, etc. Whether implemented in software, magnetic, or firmware, the instruction code may be stored in any type of computer-accessible memory (e.g., permanent or modifiable, volatile or non-volatile, solid or non-solid, fixed or removable media, etc.). Also, the Memory may be, for example, Programmable Array Logic (PAL), Random Access Memory (RAM), Programmable Read Only Memory (PROM), Read-Only Memory (ROM), Electrically Erasable Programmable Read Only Memory (EEPROM), a magnetic disk, an optical disk, a Digital Versatile Disk (DVD), or the like.
In the description provided herein, numerous specific details are set forth. It is understood, however, that embodiments of the invention may be practiced without these specific details. In some instances, well-known methods, structures and techniques have not been shown in detail in order not to obscure an understanding of this description.
Similarly, it should be appreciated that in the foregoing description of exemplary embodiments of the invention, various features of the invention are sometimes grouped together in a single embodiment, figure, or description thereof for the purpose of streamlining the invention and aiding in the understanding of one or more of the various inventive aspects. However, the disclosed method should not be interpreted as reflecting an intention that: that the invention as claimed requires more features than are expressly recited in each claim. Rather, as the following claims reflect, inventive aspects lie in less than all features of a single foregoing disclosed embodiment. Thus, the claims following the detailed description are hereby expressly incorporated into this detailed description, with each claim standing on its own as a separate embodiment of this invention.
Those skilled in the art will appreciate that the modules in the device in an embodiment may be adaptively changed and disposed in one or more devices different from the embodiment. The modules or units or components of the embodiments may be combined into one module or unit or component, and furthermore they may be divided into a plurality of sub-modules or sub-units or sub-components. All of the features disclosed in this specification (including any accompanying claims, abstract and drawings), and all of the processes or elements of any method or apparatus so disclosed, may be combined in any combination, except combinations where at least some of such features and/or processes or elements are mutually exclusive. Each feature disclosed in this specification (including any accompanying claims, abstract and drawings) may be replaced by alternative features serving the same, equivalent or similar purpose, unless expressly stated otherwise.
Furthermore, those skilled in the art will appreciate that while some embodiments described herein include some features included in other embodiments, rather than other features, combinations of features of different embodiments are meant to be within the scope of the invention and form different embodiments. For example, in the claims, any of the claimed embodiments may be used in any combination.
The word "comprising" does not exclude the presence of elements or steps not listed in a claim. The word "a" or "an" preceding an element does not exclude the presence of a plurality of such elements. The invention may be implemented by means of hardware comprising several distinct elements, and by means of a suitably programmed terminal device. In the unit claims enumerating several terminal devices, several of these terminal devices may be embodied by one and the same item of hardware. The usage of the words first, second and third, etcetera do not indicate any ordering. These words may be interpreted as names.

Claims (10)

1. A working environment quality assessment method is characterized by comprising the following steps:
collecting environmental information including measurements indicative of a plurality of parameters associated with operating efficiency in an environment, wherein the plurality of parameters include: illuminance, noise, temperature, Relative Humidity (RH) of air, fine Particulate Matter (PM)2.5) Formaldehyde, and Total Volatile Organic Compounds (TVOC);
evaluating the environment information through a working environment quality evaluation model to determine the level of the environment suitable for working, wherein the working environment quality evaluation model comprises an influence index model, an influence weight coefficient model and a weighting index of each parameter of the multiple parameters, or acquiring the most adverse factor of the multiple parameters according to the influence index model and the influence weight coefficient model of each parameter; and
displaying the measured values of the plurality of parameters and the grade, or at least one of the worst factors, on a graphical user interface.
2. The method of claim 1, wherein the environmental information is evaluated by a working environment quality evaluation model, and determining the level of suitability of the environment for operation further comprises:
obtaining an impact index for each of the plurality of parameters based on the impact index model for each of the plurality of parameters;
obtaining the weighted index of each parameter according to the influence index of each parameter and the influence weight coefficient of each parameter, wherein the influence weight coefficient is determined based on the influence weight coefficient model;
summing the weighted index for each of the plurality of parameters to obtain a working environment quality assessment index; and
and comparing the working environment quality evaluation index with a threshold value to determine the grade.
3. The method according to any one of claims 1-2, wherein obtaining the worst factor of the plurality of parameters according to the influence index model and the influence weight coefficient model of each parameter further comprises:
in the case where the influence index of at least one of the plurality of parameters is smaller than a predetermined threshold value, an environmental influence factor of each of the parameters is calculated from the influence index and the influence weight coefficient, and
determining the worst factor from the environmental impact factors for each of the parameters.
4. The work environment quality assessment method according to any one of claims 1-3, wherein said impact index model further comprises:
Figure FDA0002214511830000021
wherein HiRepresenting the influence index, C, corresponding to each parameter i of the multiple parametersiRepresents the measured value, SP, of the monitoring of said respective parameter iHiIs represented by CiHigh value of the measurement interval in which it is located, SPLoIs represented by CiLow value of the measurement interval in which it is located, HPHiRepresentation and the SPLoScore high value, HP, in the corresponding score intervalLoRepresentation and the SPHiThe low value of the score in the corresponding score interval.
5. The working environment quality assessment method according to any one of claims 1-4, wherein said impact weight coefficient model further comprises:
Figure FDA0002214511830000022
wherein, KiRepresenting a weight coefficient corresponding to each of the plurality of parameters, i representing any of the plurality of parameters, SiAnd the number of the various parameters is represented by N.
6. The method for assessing the quality of a work environment according to any one of claims 1 to 5, wherein the weighting index further comprises:
Ii＝Hi×Ki
wherein, IiRepresents a weighted index, H, corresponding to each of the plurality of parametersiExpressing the influence index, K, corresponding to each of the plurality of parametersiAnd i represents any one of the plurality of parameters.
7. The work environment quality assessment method according to any one of claims 1 to 6, wherein the work environment quality assessment model further comprises:
Figure FDA0002214511830000023
wherein I represents a work environment quality evaluation index, IiAnd the weighting indexes corresponding to the parameters in the multiple parameters are represented, i represents any one of the multiple parameters, and N represents the number of the multiple parameters.
8. The work environment quality assessment method according to any one of claims 1-7, wherein obtaining the worst factor of said plurality of parameters further comprises:
PFi＝(100-Hi)×Ki
PFmax＝{PF1,PF2,…,PFi,…,PFN}
wherein, PFiAn environmental impact factor, PF, representing each of said parametersmaxThe most unfavorable factor, H, of the plurality of parametersiExpressing the influence index, K, corresponding to each of the plurality of parametersiAnd the weighting coefficients corresponding to the parameters in the plurality of parameters are represented, i represents any one of the parameters, and N represents the number of the parameters.
9. A work environment quality assessment system, comprising:
a processor;
a computer-readable storage medium communicatively connected to the processor and storing instructions for execution by the processor; and
the instructions, when executed by the processor, cause the work environment quality assessment system to:
collecting environmental information including measurements indicative of a plurality of parameters associated with operating efficiency in an environment, wherein the plurality of parameters include: illuminance, noise, temperatureDegree, air Relative Humidity (RH), fine Particulate Matter (PM)2.5) Formaldehyde, and Total Volatile Organic Compounds (TVOC);
evaluating the environment information through a working environment quality evaluation model to determine the level of the environment suitable for working, wherein the working environment quality evaluation model comprises an influence index model, an influence weight coefficient model and a weighting index of each parameter of the multiple parameters, or acquiring the most adverse factor of the multiple parameters according to the influence index model and the influence weight coefficient model of each parameter; and
displaying the measured values of the plurality of parameters and the grade, or at least one of the worst factors, on a graphical user interface.
10. The system of claim 8, further comprising a monitoring device communicatively coupled to the processor, the monitoring device comprising:
one or more sensors for detecting the plurality of parameters in the environmental information;
a transceiving unit to transmit the plurality of parameters for the measurement of the environment to the system via a wireless network.
CN201910910348.7A 2019-09-25 2019-09-25 Working environment quality evaluation method and system based on working efficiency suitable environment index Pending CN112561218A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201910910348.7A CN112561218A (en) 2019-09-25 2019-09-25 Working environment quality evaluation method and system based on working efficiency suitable environment index

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201910910348.7A CN112561218A (en) 2019-09-25 2019-09-25 Working environment quality evaluation method and system based on working efficiency suitable environment index

Publications (1)

Publication Number Publication Date
CN112561218A true CN112561218A (en) 2021-03-26

Family

ID=75029109

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201910910348.7A Pending CN112561218A (en) 2019-09-25 2019-09-25 Working environment quality evaluation method and system based on working efficiency suitable environment index

Country Status (1)

Country Link
CN (1) CN112561218A (en)

Cited By (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN113155770A (en) * 2021-04-30 2021-07-23 中国人民解放军91977部队 Photoelectric environment grading system and method
CN113587986A (en) * 2021-07-23 2021-11-02 青岛科创信达科技有限公司 Self-adaptive and self-adjusting multi-dimensional breeding environment quality evaluation method and system
CN113739907A (en) * 2021-09-04 2021-12-03 天津大学 Sound environment quality judgment method in mental labor working state
CN116257024A (en) * 2023-02-06 2023-06-13 南京乐汇光电科技有限公司 Alarm device and method for processing low-power-consumption display based on Internet of things

Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN107478784A (en) * 2017-10-09 2017-12-15 上海迪勤智能科技有限公司 A kind of indoor healthy air index IHAI assessment method
CN109761123A (en) * 2019-01-21 2019-05-17 江苏省特种设备安全监督检验研究院 Environment composite monitoring device in lift car
KR20190066768A (en) * 2017-12-06 2019-06-14 사단법인 한국스마트제조산업협회 Parameter processing for porcess in smart manufacturing environment
CN110146941A (en) * 2019-05-13 2019-08-20 维沃移动通信有限公司 A kind of indoor environmental quality display methods and terminal

Patent Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN107478784A (en) * 2017-10-09 2017-12-15 上海迪勤智能科技有限公司 A kind of indoor healthy air index IHAI assessment method
KR20190066768A (en) * 2017-12-06 2019-06-14 사단법인 한국스마트제조산업협회 Parameter processing for porcess in smart manufacturing environment
CN109761123A (en) * 2019-01-21 2019-05-17 江苏省特种设备安全监督检验研究院 Environment composite monitoring device in lift car
CN110146941A (en) * 2019-05-13 2019-08-20 维沃移动通信有限公司 A kind of indoor environmental quality display methods and terminal

Non-Patent Citations (2)

* Cited by examiner, † Cited by third party
Title
李明雪 等: "冬季自然通风教室室内环境对学习效率的影响", 冬季自然通风教室室内环境对学习效率的影响, vol. 30, no. 6, pages 30 - 33 *
魏昊然 等: "基于韦伯－费希纳定律的住宅室内环境质量评价方法", 基于韦伯-费希纳定律的住宅室内环境质量评价方法, vol. 38, no. 3, pages 249 - 256 *

Cited By (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN113155770A (en) * 2021-04-30 2021-07-23 中国人民解放军91977部队 Photoelectric environment grading system and method
CN113587986A (en) * 2021-07-23 2021-11-02 青岛科创信达科技有限公司 Self-adaptive and self-adjusting multi-dimensional breeding environment quality evaluation method and system
CN113739907A (en) * 2021-09-04 2021-12-03 天津大学 Sound environment quality judgment method in mental labor working state
CN113739907B (en) * 2021-09-04 2024-02-20 天津大学 Acoustic environment quality judging method under working state of mental labor
CN116257024A (en) * 2023-02-06 2023-06-13 南京乐汇光电科技有限公司 Alarm device and method for processing low-power-consumption display based on Internet of things
CN116257024B (en) * 2023-02-06 2023-11-14 南京乐汇光电科技有限公司 Alarm device and method for processing low-power-consumption display based on Internet of things

Similar Documents

Publication Publication Date Title
CN112561218A (en) Working environment quality evaluation method and system based on working efficiency suitable environment index
CN107066831B (en) Regional comprehensive environment evaluation method, device and system
Harrigan et al. Designation and trend analysis of the updated UK Benchmark Network of river flow stations: The UKBN2 dataset
WO2021119947A1 (en) Method for quick detection of damage to bridge, and related device
CN105740991A (en) Climate change prediction method and system for fitting various climate modes based on modified BP neural network
KR102098888B1 (en) System and method for disaster prediction and analysis of structures, and a recording medium having computer readable program for executing the method
CN104048843B (en) Loads of Long-span Bridges steel box-girder damage alarming method based on GPS displacement monitorings
KR102065435B1 (en) Infrastructure health monitoring system and method
JP2016184237A (en) Facility failure prediction system, facility failure prediction device and facility failure prediction method
WO2020056812A1 (en) Environmental parameter weight determining method and system for evaluating indoor environmental quality
CN117314397B (en) Safety inspection method based on bridge construction, electronic equipment and storage medium
CN113486295A (en) Fourier series-based total ozone change prediction method
CN204287267U (en) A kind of rectifier and testing current in resistance property instrument
CN107290047B (en) A method of fitting infrasonic sound station wind noise-wind speed
CN110455438B (en) Automatic calibration and automatic test method for optical fiber length of optical fiber temperature distribution tester
CN117191147A (en) Flood discharge dam water level monitoring and early warning method and system
CN116384189A (en) Highway bridge state evaluation system and method
CN112557585A (en) Learning environment quality evaluation system and method based on Weber-Feishlnut law
Georgescu et al. Well-being and economic freedoms in OECD
CN104991222B (en) metering automation terminal quality evaluation system
CN114546841A (en) Software quality evaluation method based on cloud computing
CN112801556A (en) Regional influence degree evaluation method and system for pollution discharge behaviors of industrial enterprise
CN111881259A (en) Equipment fault probability evaluation method and system based on text mining
CN116878728B (en) Pressure sensor fault detection analysis processing system
CN116934760B (en) Monitoring and alarming method and system for protecting rubber glove

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination