CN111062551A

CN111062551A - Safety factor evaluation method and device for construction site and server

Info

Publication number: CN111062551A
Application number: CN201811211226.0A
Authority: CN
Inventors: 陶明; 黄卫东; 于政强; 赵化祥; 王廷林; 骆科钧; 管术杰
Original assignee: PowerChina Eco Environmental Group Co Ltd
Current assignee: PowerChina Eco Environmental Group Co Ltd
Priority date: 2018-10-17
Filing date: 2018-10-17
Publication date: 2020-04-24

Abstract

The invention is suitable for the technical field of computers, and provides a method, a device and a server for evaluating safety factors of a construction site, wherein the method comprises the following steps: acquiring a standard layer safety factor and an index layer safety factor of a construction site of a target construction project; constructing a judgment matrix of the standard layer safety factors and the index layer safety factors; determining a first relative weight value of each criterion layer safety factor and a second relative weight value of each index layer safety factor by adopting an analytic hierarchy process based on the judgment matrix; and determining the target safety factors to be monitored in an important way based on the first relative weight value of each criterion layer safety factor and the second relative weight value of each index layer safety factor. According to the scheme, the target safety factors to be monitored in a key mode can be determined, so that the target safety factors are monitored in a key mode in the construction process, the danger source is obtained based on the target safety factors, and the danger source is controlled, so that the probability of safety accidents is reduced.

Description

Safety factor evaluation method and device for construction site and server

Technical Field

The invention belongs to the technical field of computers, and particularly relates to a method and a device for evaluating safety factors of a construction site and a server.

Background

With the development of cities, environmental protection is more and more emphasized, and the overall improvement of environmental quality becomes a core target of environmental protection. The environmental protection means that human beings consciously protect natural resources and reasonably utilize the natural resources, prevent the natural environment from being polluted and damaged, and comprehensively treat the polluted and damaged environment to create an environment suitable for human life and work.

In recent years, the government of China highly attaches importance to the treatment and ecological restoration work of urban black and odorous water, the water environment protection becomes a main place and a main force of ecological civilization construction, and measures for treating the water environment are more and more. However, in the process of treating water environment, different environmental protection facilities adopt different processes to undertake different treatment tasks, are in different geographical ecological environments and execute different treatment and purification standards, and currently, no effective method is available for evaluating safety factors of a construction site, and accidents can be caused by neglecting some safety factors.

Disclosure of Invention

In view of this, embodiments of the present invention provide a method, an apparatus, and a server for evaluating safety factors of a construction site, so as to solve the problem that in the prior art, no effective method is currently available for evaluating safety factors of a construction site, and an accident may be caused by neglecting some safety factors.

The first aspect of the embodiment of the invention provides a safety factor evaluation method for a construction site, which comprises the following steps:

acquiring a standard layer safety factor and an index layer safety factor of a construction site of a target construction project;

constructing a judgment matrix of the standard layer safety factors and the index layer safety factors;

determining a first relative weight value of each criterion layer safety factor and a second relative weight value of each index layer safety factor by adopting an analytic hierarchy process based on the judgment matrix;

and determining target safety factors to be monitored in an important mode based on the first relative weight value of each standard layer safety factor and the second relative weight value of each index layer safety factor.

A second aspect of an embodiment of the present invention provides a safety factor evaluation device for a construction site, including:

the system comprises an acquisition unit, a construction unit and a construction unit, wherein the acquisition unit is used for acquiring a standard layer safety factor and an index layer safety factor of a construction site of a target construction project;

the construction unit is used for constructing the criterion layer safety factor and the judgment matrix of the index layer safety factor;

the determining unit is used for determining a first relative weight value of each criterion layer safety factor and a second relative weight value of each index layer safety factor by adopting an analytic hierarchy process based on the judgment matrix;

and the evaluation unit is used for determining the target safety factors to be monitored in a key mode based on the first relative weight value of each standard layer safety factor and the second relative weight value of each index layer safety factor.

A third aspect of an embodiment of the present invention provides a server: comprising a memory, a processor and a computer program stored in the memory and executable on the processor, the processor implementing the following steps when executing the computer program:

A fourth aspect of embodiments of the present invention provides a computer-readable storage medium storing a computer program which, when executed by a processor, implements the steps of:

Compared with the prior art, the embodiment of the invention has the following beneficial effects:

the server determines a first relative weight value of each criterion layer safety factor and a second relative weight value of each index layer safety factor by adopting an analytic hierarchy process based on the criterion layer safety factor and the judgment matrix of the index layer safety factor; and determining target safety factors to be monitored in a key manner based on the first relative weight value of each criterion layer safety factor and the second relative weight value of each index layer safety factor so as to monitor the target safety factors in a key manner in the construction process, learning a danger source based on the target safety factors, and managing and controlling the danger source so as to reduce the probability of safety accidents or avoid safety accidents caused by the target safety factors.

Drawings

In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the drawings needed to be used in the embodiments or the prior art descriptions will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and it is obvious for those skilled in the art to obtain other drawings based on these drawings without inventive exercise.

Fig. 1 is a schematic flow chart illustrating an implementation of a method for evaluating safety factors of a construction site according to an embodiment of the present invention;

FIG. 2 is a schematic diagram of a hierarchical structure according to an embodiment of the present invention;

FIG. 3 is a schematic diagram of a cause of an accident at a construction site according to an embodiment of the present invention;

FIG. 4 is a schematic flow chart illustrating an implementation of a method for evaluating safety factors of a construction site according to another embodiment of the present invention;

FIG. 5 is a schematic diagram of a safety factor evaluation device for a construction site according to an embodiment of the present invention;

fig. 6 is a schematic diagram of a server provided in an embodiment of the present invention.

Detailed Description

In the following description, for purposes of explanation and not limitation, specific details are set forth, such as particular system structures, techniques, etc. in order to provide a thorough understanding of the embodiments of the invention. It will be apparent, however, to one skilled in the art that the present invention may be practiced in other embodiments that depart from these specific details. In other instances, detailed descriptions of well-known systems, devices, circuits, and methods are omitted so as not to obscure the description of the present invention with unnecessary detail.

In order to explain the technical means of the present invention, the following description will be given by way of specific examples.

Referring to fig. 1, fig. 1 is a schematic flow chart illustrating an implementation of a method for evaluating a safety factor of a construction site according to an embodiment of the present invention, where an execution subject of the method for evaluating a safety factor of a construction site according to the embodiment is a server. The server is used for evaluating the safety problem of the environmental improvement project on the construction site, and the environmental improvement project comprises but is not limited to a water environmental improvement project. The safety factor evaluation method of the construction site as shown in the figure can comprise the following steps:

s101: and acquiring the standard layer safety factor and the index layer safety factor of the construction site of the target construction project.

The target construction project is an environmental remediation project, including but not limited to an aquatic environment remediation project. The standard layer safety factor and the index layer safety factor are at least two. Further, criteria level security factors include: physical factors, human factors, administrative factors, and environmental factors.

Factors of the object include index layer safety factors including: safety control of mechanical equipment, safety protection and monitoring equipment, equipment overhaul and maintenance and material quality.

Wherein, human factors include index layer safety factors including: human safety awareness, personnel quality, technical level and construction operation rules.

Factors for management include index layer security factors including: the method comprises the steps of safety regulation establishment and execution, safety management organization setting, safety education and training, safety inspection and accident handling and safety investment.

Environmental factors include index layer security factors including: natural environment, construction environment, and living environment.

The criterion layer and The index layer are contents in a low-level hierarchical structure constructed when The Analytic Hierarchy Process (AHP) is used for solving problems. Referring to fig. 2 in detail, fig. 2 is a schematic diagram of a hierarchical structure according to an embodiment of the present invention.

The AHP is a systematic method that takes a complex multi-objective decision problem as a system, decomposes a target into multiple targets or criteria, further decomposes the targets into multiple levels of multiple indexes (or criteria, constraints), and calculates a hierarchical single rank (weight) and a total rank by a qualitative index fuzzy quantization method to be used as a target (multiple indexes) and multi-scheme optimization decision.

The analytic hierarchy process is roughly: decomposing the decision problem into different hierarchical structures according to the sequence of a total target, sub targets of each layer, evaluation criteria to a specific backup delivery scheme, then solving and judging a matrix characteristic vector to obtain the priority weight of each element of each layer to a certain element of the previous layer, and finally carrying out hierarchical merging on the final weights of all backup schemes to the total target by a weighting sum method, wherein the maximum weight is the optimal scheme.

In an embodiment, the server may set a criterion layer safety factor and an index layer safety factor for each construction site of each construction project in advance, and the construction project, the construction site, the criterion layer safety factor and the index layer safety factor have an association relationship therebetween. When detecting an instruction for identifying safety factors evaluating a construction site, a server acquires standard layer safety factors and index layer safety factors of each construction site of a target construction project based on the identification of the target construction project contained in the instruction; or when the instruction comprises the identification of the target construction project and the identification of the target construction site, acquiring the standard layer safety factor and the index layer safety factor which are matched with the identification of the target construction project and the identification of the target construction site.

In another embodiment, when detecting an instruction for identifying safety factors evaluating a construction site, the server may determine a type to which the target construction project belongs and a type to which the target construction site belongs based on an identifier of the target construction project and an identifier of the target construction site included in the instruction, and analyze a factor generating a safety problem, a criterion layer safety factor, and an index layer safety factor, which are matched with the type to which the target construction project belongs and the type to which the target construction site belongs, based on accident cause information in the big data system.

Further, S101 specifically is: and acquiring the standard layer safety factor and the index layer safety factor of the construction site of the target construction project based on the accident cause theory.

The key point of accident prevention lies in mastering the accident occurrence mechanism, finding out necessary reasons and accidental reasons causing accidents, eliminating the necessary reasons, scientifically controlling the accidental reasons and further reducing the accident probability to the maximum extent. The accident cause theory is to explore the accident occurrence mechanism, explain the cause, the initial and final processes and the accident consequence of the accident in detail, and definitely analyze the occurrence of the accident and control the development of the accident. The degree of loss due to a safety accident depends on factors such as the amount of energy, the length of time of energy contact, the frequency, and the concentration of force, and various blocking measures can be taken to prevent accidental energy transfer in order to prevent the safety accident.

In which the accidental release theory of energy explains the cause of the accident from a new point of view, and the accidental release theory of energy considers that the hazard source is all objects capable of generating energy, and the accident is caused when abnormal or unexpected energy is accidentally released in the production process. Please refer to fig. 3 for the cause of the accident on the construction site.

In the embodiment, the server identifies the danger source of each construction site of the target construction project according to an accident cause theory, analyzes the cause of the safety accident caused by the target construction project in the construction process by using a cause-and-effect analysis method, and takes the analyzed cause as a criterion layer safety factor.

S102: and constructing a judgment matrix of the standard layer safety factors and the index layer safety factors.

When AHP is used) is used for solving the problem, a judgment matrix is needed, so that the judgment matrix of the standard layer safety factor and the index layer safety factor is constructed before the AHP is used for determining the weight value.

In this embodiment, the basic steps of problem solving using the Analytic Hierarchy Process (AHP) are roughly divided into the following five steps: 1. a problem is made clear; 2. establishing a hierarchical structure model; 3. constructing a pairwise comparison judgment matrix; 4. sorting the hierarchical lists and checking consistency; 5. and (5) carrying out overall hierarchical ordering and consistency check.

1. Clear problem

The system analysis using AHP first needs to know the problem clearly, i.e. to find out the scope of the problem, the included factors and interrelations, the purpose of solving the problem, and whether the AHP has the features described in the AHP.

In this embodiment, the overall target (target layer) affects the safety evaluation of the construction site of the target construction project.

2. Building a hierarchical model

This is the most important step in AHP. Firstly, the complex problem is decomposed into components called elements, the elements are divided into a plurality of groups from top to bottom according to different attributes, and meanwhile, the next group of elements is governed by the previous group of elements, so that a hierarchical level is formed. The elements at the top level are the intended target or ideal result of the analysis problem. The middle level is typically a criteria, index level. The lowest level includes a decision-making scheme. The dominance relationship of elements between hierarchies is not necessarily complete, i.e., there may be elements that do not dominate all elements of the next hierarchy. A typical hierarchy is shown in detail in FIG. 2. The standard layer comprises the standard layer safety factor, the index layer is further refined by the alignment layer, and the index layer comprises the index layer safety factor.

Wherein the number of layers is related to the complexity of the problem and the elaboration of the analysis required. The number of elements in each layer is generally not more than nine, and the two-to-two comparison judgment is difficult due to the fact that one layer contains too many elements.

3. Construct pairwise comparison and judgment matrix

After the hierarchical structure is established, the membership of elements between the upper and lower levels is determined. Assuming the element H of the previous level as a criterion, the element A of the next level₁，A₂，…A_nHaving a dominating relationship, our goal is to assign A their relative importance under criterion H₁，A₂，…A_nThe corresponding weight. For most socio-economic problems, especially those that play an important role in human judgment, it is not easy to directly obtain the weights of these elements, and the weights often need to be derived by an appropriate method. AHP uses a pairwise comparison method.

In this step, the decision is to answer the question repeatedly: for criterion H, two elements A_iAnd A_jWhich is more important and heavierTo what extent, what number needs to be assigned to what is important is generally used on a scale of 1-9, the meanings of which are given in Table 1. Wherein i and j are positive integers.

TABLE 1 Scale of AHP

For example, the criterion is a safety factor, and the sub-criterion may be divided into a factor of an object, a factor of a person, a factor of management, and a factor of an environment. If the factors of the object are considered to be slightly more important than those of the environment, their scale of proportion is taken to be 3. And a scale of the environmental factor to the physical factor is 1/3. For n elements, a pairwise comparison judgment matrix a is obtained:

A＝(a_ij)_n×n

the judgment matrix a has the following properties:

1)a_ij>0

2)a_ij＝1/a_ji

3)a_ii＝1

we call a positive reciprocal matrix. Due to the properties (2), (3), in fact, for the decision matrix of order n, only n (n +1)/2 of its upper (lower) triangle elements need to be given decisions. The elements of a do not necessarily have transitivity, i.e., the equation does not necessarily hold:

a_ij＝a_ik/a_jkformula (1-1)

When the expression (1-1) is satisfied, A is called a consistency matrix. The consistency matrix is significant when explaining the element sorting weight derived from the judgment matrix. If the factors i and j are compared to obtain a_ijThen the judgment of the comparison of the factors j and i is 1/a_ij。

Further, S102 may include: constructing the first judgment matrix based on the relative importance degree between the safety factors of the criterion layer; and constructing the second judgment matrix based on the relative importance degree between the index layer safety factors.

Specifically, the server is based on the relative importance between any two of the criteria-level security factors; according to the scale of the AHP shown in the table 1, a first judgment matrix corresponding to the safety factor of the criterion layer is constructed; based on the relative importance degree between any two environmental factor indexes in the safety factors of the index layer; a second decision matrix corresponding to the safety factor of the index layer is constructed according to the scale of the AHP shown in table 1 above.

S103: and determining a first relative weight value of each criterion layer safety factor and a second relative weight value of each index layer safety factor by adopting an analytic hierarchy process based on the judgment matrix.

Because, the basic steps of applying the Analytic Hierarchy Process (AHP) to solve the problem are roughly divided into the following five steps: 1. a problem is made clear; 2. establishing a hierarchical structure model; 3. constructing a pairwise comparison judgment matrix; 4. sorting the hierarchical lists and checking consistency; 5. checking the total sequence and consistency of the layers; after the server constructs the judgment matrix in S102, two steps of "level single ranking and consistency check" and "level total ranking and consistency check" are performed to determine a first relative weight value of each criterion layer security factor and a second relative weight value of each index layer security factor. The relative weight values in this embodiment are used to identify the relative importance between the two security factors. The two steps of the 'hierarchical single ordering and consistency check' and the 'hierarchical total ordering and consistency check' are as follows:

4. hierarchical single ordering and consistency check

This step is to solve n elements A under the criterion H₁，A₂，…A_nAnd (4) calculating the sorting weight, and performing consistency check.

First, A is obtained_iThe weight for H. We first introduce the following concepts: assuming A is an n-th order matrix, if the number λ and the n-dimensional non-zero column vector x, let the relation

Ax ═ λ x formula (1-2)

If it holds, such a number λ is called the eigenroot of the matrix A, and the non-zero vector x is called the eigenvector where A corresponds to λ.

From the formula (1-2), (a- λ E) x ═ 0, and a characteristic equation of | a- λ E | ═ 0, that is, a characteristic equation

When the element a of the matrix A_ijSatisfies a_ii＝1,a_ij＝1/a_ji,a_ij＝a_ik/a_jkWhen A has a unique non-zero maximum characteristic root λ_maxAnd λ_max＝n。

Then, for the obtained judgment matrix a, the weight of each element of a with respect to H is required, that is, the feature vector W corresponding to the maximum feature of a is obtained, and then normalization processing is performed to obtain the weight of each element of a with respect to H, that is, the weight of each element of a with respect to H is known

Obtaining W ═ W₁,w₂,…,w_n)^t

By

Let AW be nW, where n is a feature root of the matrix a, and W is a feature vector of the matrix a corresponding to the feature root. Two methods for obtaining the maximum feature root of the matrix and its feature vector, the square root method and the sum-product method, are described below.

The method for solving the maximum characteristic root and the characteristic vector of the matrix by the square root method comprises the following steps:

setting a certain AHP judgment matrix as:

the steps of calculating the maximum eigenvalue of the matrix and the corresponding eigenvector are as follows:

1) calculating the product M of each row element of the matrix A_i

2) Calculating M_iRoot of cubic (n times)

3) For vector

Is normalized, i.e. ordered

Thus obtaining another vector W ═ W₁,w₂,…,w_n)^ΓI.e. an approximation of the eigenvector sought, which is also the relative weight of each element.

4) Calculating the maximum characteristic root λ of A_max

From AW ═ λ_maxw₁

To obtain

To obtain

The steps of solving the maximum characteristic root and the characteristic vector of the matrix by a sum-product method are as follows:

1) normalizing each element in the judgment matrix A according to columns to obtain another matrix B ═ B_ij) The elements are generally terms of

2) The elements in the matrix B are added in rows, respectively, and the sum is

3) For vector r ═ r₁,r₂,…,r_n)^ΓPerforming normalization treatment to obtain

Vector w ═ w₁,w₂,…,w_n)^ΓThe result is obtained.

4) Lambda is found_maxThe method of (2) is the same as the root method, i.e.

In the structure of the judgment matrix, it is not required that the judgment has consistency, that is, it is not necessarily required that the expression (1-1) in S102 is established because of complexity of the objective thing and human recognition diversity. However, it is necessary to judge the general consistency, because the cases that A is extremely important than B and B is extremely important than C are always against the common sense. Moreover, when the deviation consistency is judged to be too large, some problems will occur when the calculation result of the ranking weight vector is used as a decision basis. Thus obtaining lambda_maxThereafter, a consistency check is required.

If the judgment matrix A is judged to be A 'with deviation, the judgment matrix A' is called as an incompatible judgment matrix, and then: a' W ═ λ_maxW′。

If matrix A is fully compatible, then there is λ_maxN, or else λ_max>n, thus suggesting that we can use λ_max-n to measure off-compatibility procedures.

The metric compatibility Index is c.i (consistency Index),

generally, if C.I is less than or equal to 0.10, the judgment matrix A ' is considered to have compatibility, and the calculated A ' is acceptable, otherwise, two-by-two comparison judgment is carried out again, and the adjustment is carried out to ensure that the judgment matrix A ' has satisfactory compatibility.

The larger the dimension n of the judgment matrix is, the worse the judgment consistency is, so the requirement on the consistency of the high-dimensional judgment matrix is relaxed, and then a correction value R.I is introduced, see table 2, and more reasonable C.R is taken as an index for measuring the consistency of the judgment matrix. Wherein the content of the first and second substances,

the average random consistency index r.i is obtained by repeatedly calculating the characteristic value of the random decision matrix a plurality of times (500 times or more) and then taking the arithmetic mean. The values are shown in tables 2-1 and 2-2.

TABLE 2-1 correction values R.I

Dimension number	1	2	3	4	5	6	7	8
									R.I	0.00	0.00	0.52	0.89	1.12	1.26	1.36	1.41

Here, it should be noted that r.i is only formal for the 1 st and 2 nd order decision matrices, because the 1 st and 2 nd order decision matrices always have complete consistency, and when the order is greater than 2, the consistency index CI of the decision matrix and the average random consistency index r.i of the same order are called as a random consistency ratio c.r.

TABLE 2-2 correction values R.I

Dimension number	9	10	11	12	13	14	15
								R.I	1.46	1.49	1.52	1.54	1.56	1.58	1.59

5. Hierarchical gross ordering and consistency check

Calculating the ranking weight of all elements on the same level relative to the relative importance of the highest level, called total ranking, wherein the process is carried out from the highest level to the lowest level layer by layer, and if the upper level A contains m elements A₁，A₂，...，A_mThe total rank of the base level is a₁，a₂，...，a_mThe next level B contains n elements B₁，B₂，...，B_mFor A_jThe rank order weight is b_1j，b_2j，…，b_nj(when B is_KAnd A_jWhen there is no relation, b_kj0) when the total B-level ordering is shown in table 3.

TABLE 3 general ranking table

Note:

for consistency check of hierarchical level combination judgment, the C.I needs to be calculated layer by layer similarly. If the K-1 level calculation results c.i, r.i and c.r are obtained, the corresponding indexes of the K level are:

here, c.i and r.i are the consistency index and the average random consistency index of the judgment matrix under the ith criterion of the k-1 layer, respectively. When C.R_k<0.10, the hierarchy is considered to have satisfactory consistency across judgments at the level of K.

The final result of the AHP is to obtain the priority weights for the total target decision schemes, and to give a total consistency index for all judgments of the entire hierarchical structure on which the combined ranking weights are based, so that decisions can be made accordingly.

In the present embodiment, the general forms of the constructed decision matrix and its weights are shown in tables 4-1 to 4-5.

TABLE 4-1 criterion layer index decision matrix and weights thereof

The importance degrees of the indexes of the factors of the objects, the factors of the people, the management factors and the environmental factors are compared, and the results are shown in tables 4-2 to 4-5.

Table 4-2 determination matrix of each index of factors and weights thereof

TABLE 4-3 determination matrix of each index of human factors and its weight

Table 4-4 each index judgment matrix of managed factors and its weight

Table 4-5 determination matrix of each index of environmental factors and weight thereof

As can be seen from tables 4-1 to 4-5 above, the weights of the indexes obtained by the analytic hierarchy process are:

W＝{w₁,w₂,w₃,w₄}＝{0.1571，0.3011，0.4575，0.0843}；

w₁＝{w₁₁,w₁₂,w₁₃,w₁₄}＝{0.2895，0.0965，0.2047，0.4093}；

w₂＝{w₂₁,w₂₂,w₂₃,w₂₄}＝{0.4617，0.3038，0.1023，0.1332}；

w₃＝{w₃₁,w₃₂,w₃₃,w₃₄,w₃₅}＝{0.4252，0.0814，0.2442，0.1074，0.1418}；

w₄＝{w₄₁,w₄₂,w₄₃}＝{0.5936，0.2493，0.1571}。

s104: and determining target safety factors to be monitored in an important mode based on the first relative weight value of each standard layer safety factor and the second relative weight value of each index layer safety factor.

For example, as can be seen from Table 4-1, W₃>W₂>W₁>W₄Thus, for the criterion layer, the ordering of the relative weights is: u shape₃>U₂>U₁>U₄The server can take the managed factors as the target safety factors to be monitored in a key way, and can also identify the managed factors and the human factors as the target safety factors to be monitored in a key way.

It is understood that the server may determine one or two target security factors to be monitored with emphasis according to the determined first relative weight value. And the server determines one or two target safety factors to be monitored in a key mode according to the determined second relative weight value. The number of the target safety factors to be monitored in a key manner can be set according to actual needs, and is not limited here.

As can be seen from tables 4-2 to 4-5, W₃₁>W₂₁>W₃₃>W₄₁>W₁₂The server may recognize "establishment and execution of safety regulations" among the factors of management, "human safety awareness" among the factors of human, and "safety education and training" among the factors of management as the target safety factor to be monitored with emphasis.

Further, in order to learn the importance of the safety factor index more conveniently, S104 may specifically be: and sequentially screening a preset number of target safety factors to be monitored in a key manner according to the sequence of the weight values from large to small on the basis of the first relative weight value of each standard layer safety factor and the second relative weight value of each index layer safety factor.

The server sorts the first relative weight values of all the standard layer safety factors in a descending order of the weight values based on the first relative weight value of each standard layer safety factor, and determines the evaluation result of the standard layer safety factors; and sequencing the second relative weight values of the safety factors of all the index layers according to the sequence of the weight values from large to small based on the second relative weight value of the safety factor of each index layer, and determining the evaluation result of the safety factor of each index layer.

Because the importance of the safety factors is marked by the size of the relative weight value of each safety factor calculated by adopting an analytic hierarchy process, the server can obtain the importance sequence of the safety factors of the criterion layer according to the evaluation result of the safety factors of the criterion layer, and can obtain the importance sequence of the safety factors of the criterion layer according to the evaluation result of the safety factors of the criterion layer. And sequentially screening target safety factors to be monitored in a key order according to the sequence of the weighted values from large to small based on the importance sequence of the safety factors of the criterion layer and the importance sequence of the safety factors of the index layer.

The target security factor may be a criterion layer security factor or may be a reference layer security factor. The number of target security factors can be set according to actual needs, and is not limited herein.

According to the scheme, the server determines a first relative weight value of each criterion layer safety factor and a second relative weight value of each index layer safety factor by adopting an analytic hierarchy process based on the criterion layer safety factor and the judgment matrix of the index layer safety factor; and determining target safety factors to be monitored in a key manner based on the first relative weight value of each criterion layer safety factor and the second relative weight value of each index layer safety factor so as to monitor the target safety factors in a key manner in the construction process, learning a danger source based on the target safety factors, and managing and controlling the danger source so as to reduce the probability of safety accidents or avoid safety accidents caused by the target safety factors.

Referring to fig. 4, fig. 4 is a schematic flow chart illustrating an implementation of a safety factor evaluation method for a construction site according to another embodiment of the present invention. In another embodiment, in order to reduce the occurrence probability of the accident or avoid the accident occurring in the target accident item during the construction process, after S104, S205 to S206 may be further included. S201 to S204 are the same as S101 to S104 in the previous embodiment, and please refer to the description related to S101 to S104 in the previous embodiment, which is not described herein again. S205-S206 are specifically as follows:

s205: determining a cause of the safety issue based on the target safety factor.

The water environment management project is taken as an example for explanation, and on the basis of comprehensive safety management, according to the characteristics of safety management of the water environment treatment project, the embodiment adopts an STCC (Search prediction, well-known from all, Check inspection, Control) cyclic management mode of safety production management to perform safety management. The STCC loop management mode is based on the classic PDCA loop method and the management method of "5S". The STCC loop management mode is generally implemented in four steps: search, safety prediction, actively collecting safety management data, carrying out safety analysis and making safety measures; telling, which is well known to inform all personnel of hazard source factors, safety management methods or measures; check, security Check; control, taking Control measures to master security issues. The server is operated according to the STCC cycle management mode in the process of water environment safety management, successful methods or experiences can be brought into the safety management standard, and unsuccessful methods are reserved for the next cycle to be solved.

The PDCA is a quality evaluation method that continuously analyzes problems, finds causes, solves problems, and transfers unresolved problems to the next cycle, and repeatedly performs the processes in a stepwise manner, by using a management mode of a PDCA cycle of "plan-implement-check-process" performed by p (plan), d (do), c (check), and a (act). Once each cycle, a part of problems are solved, the process of making a quality plan and organizing the implementation is developed, and the thought method and the working steps are more organized, systematized, imaged and scientific, so that the method becomes a basic method for comprehensive quality management operation.

"5S" refers to finishing (Seiri), finishing (Seiton), sweeping (Seiso), cleaning (Seiketsu), literacy Shitsuke.

The content of the first step in the STCC cycle of safety production management is to analyze the factors that create the safety problem, i.e. the identification of the hazard source, which is also the fundamental part of safety management. Because a large number of dangerous sources exist in a construction site, each dangerous source can cause safety accidents, and timely and accurate identification of the dangerous sources becomes a necessary premise for safety management of the construction site. By combining the characteristics of a construction site and continuously and deeply understanding the accident cause theory, the fish bone diagram method is used for analyzing the causes of the possible safety accidents in the water environment treatment construction process. Please refer to fig. 3 for the cause of the accident on the construction site.

In the construction process, people participate in the main body, and safety accidents can be caused by physiological defects, poor quality, low safety awareness, low technical level, body exhaustion, non-compliance with production rules and the like. The physiological defects mainly comprise that the patient has a certain disease, has isolated characters, slow response and the like; the inferiority is mainly indifferent discipline, low moral quality, selfish and self-profit, and the like; the low safety consciousness mainly includes insecure safety thought, poor safety responsibility and the like; the low technical level mainly comprises the defects of lack of self knowledge, poor strain capacity and the like; the fatigue is mainly caused by insufficient rest, bad mental state, unclear consciousness and the like; the main reasons for not complying with the production rules are not strictly complying with the production regulations and rules, not complying with management, adventure and brute force and the like.

The reasons for the occurrence of safety accidents caused by physical factors mainly include defects of mechanical equipment, inadequate safety protection measures, imperfect monitoring equipment, unqualified material quality, untimely maintenance of equipment and the like. The approach installation and maintenance and regular maintenance of mechanical equipment are necessary, some mechanical equipment is worn and aged due to long-term use and lack of maintenance, and safety accidents are easily caused if the work is not done in place. The man-machine cooperation construction is inevitable in the construction process, and because the machine is large in size, limited in visual field range and more in constructors, protective measures such as protective nets of safety helmets need to be taken in place, and it is very important to set striking safety warning signs in some dangerous areas. The quality of materials in engineering construction needs to reach the standard, and when some dangerous materials are used, the transportation, storage and storage of the materials need to be paid attention. In addition, in some space-limited zones, monitoring equipment is arranged so as to grasp the dynamics of things at any time.

Modern accident cause and effect linkage theory considers that the most fundamental reason for causing unsafe behaviors of people and unsafe states of things is the defect of management, which is an indirect reason of the occurrence of a safety accident and is a condition for the existence of a direct reason of the occurrence of the safety accident. The reasons for safety accidents due to regulatory factors are mainly as follows: the security management mechanism is set unreasonably; the safety management regulation is not sound; a security manager makes a decision incorrectly; safety education and training are not in place; accident prevention and treatment is incomplete; the safe investment is not enough, and the expenditure is not used for other purposes.

The environment refers to the material state in the space occupied by construction, and safety accidents are easy to happen when the construction is in an abnormal environment material state. The causes of accidents caused by environmental factors mainly include the following five aspects: firstly, influences of geographical situation, weather and weather, and the like; secondly, the influence of illumination, temperature, humidity and the like; thirdly, noise, dust, toxic gas and the like; fourthly, influence of thunderstorm, ice and snow and the like; and fifthly, influences of lake and sea, mountains and the like. Abnormal environmental conditions can cause safety accidents, for example, during construction, the normal operation of mechanical equipment can be influenced by temperature change, and the physiological and psychological states of construction operators can also be influenced; toxic and harmful gases in the environment can cause suffocation of operators and also can cause explosion accidents; the smoke dust in the construction site easily causes occupational diseases to operators; safety accidents can be caused by bad terrain of the environment, disordered stacking of materials and the like.

In this embodiment, the server obtains the incentive causing the security problem corresponding to the target security factor based on the preset corresponding relationship between the security factor and the incentive causing the security problem. The inducement refers to the inducement which can cause safety accidents in the construction process.

S206: and outputting early warning information based on the incentive.

When predicting the incentive causing the safety problem, the server outputs early warning information aiming at the incentive to inform related personnel to take care of preventing the incentive, thereby preventing the safety problem caused by the incentive.

Further, when predicting the incentive causing the security problem, the server may determine a target security measure matching the incentive based on a preset corresponding relationship between the incentive and the security management measure or based on a scheme for eliminating a security accident caused by the incentive, and remind the incentive and the target security measure to the relevant person, so that the relevant person takes a control measure according to the target security measure to master the security problem.

The reason for generating the safety problem is analyzed based on the target safety factor, and early warning information is output based on the reason, so that the accident occurrence probability can be reduced or the accident occurrence of the target accident project in the construction process can be avoided.

It should be understood that, the sequence numbers of the steps in the foregoing embodiments do not imply an execution sequence, and the execution sequence of each process should be determined by its function and inherent logic, and should not constitute any limitation to the implementation process of the embodiments of the present invention.

Referring to fig. 5, fig. 5 is a safety factor evaluation device for a construction site according to an embodiment of the present invention, where each unit included in the safety factor evaluation device for a construction site is used to execute each step in the embodiment corresponding to fig. 1 or fig. 4. Please refer to fig. 1 and fig. 4 for the corresponding embodiments. For convenience of explanation, only the portions related to the present embodiment are shown. Referring to fig. 5, the safety factor evaluation device 5 at the construction site includes:

an obtaining unit 510, configured to obtain a standard layer safety factor and an index layer safety factor of a construction site of a target construction project;

a constructing unit 520, configured to construct a judgment matrix of the criterion layer security factor and the index layer security factor;

a determining unit 530, configured to determine, based on the determination matrix, a first relative weight value of each criterion layer security factor and a second relative weight value of each index layer security factor by using an analytic hierarchy process;

the evaluation unit 540 is configured to determine a target security factor to be monitored in an important manner based on the first relative weight value of each criterion layer security factor and the second relative weight value of each index layer security factor.

Further, the building unit 520 is specifically configured to: constructing the first judgment matrix based on the relative importance degree between the safety factors of the criterion layer; and constructing the second judgment matrix based on the relative importance degree between the index layer safety factors.

Further, the evaluation unit 540 is specifically configured to: and sequentially screening a preset number of target safety factors to be monitored in a key manner according to the sequence of the weight values from large to small on the basis of the first relative weight value of each standard layer safety factor and the second relative weight value of each index layer safety factor.

Further, the criteria level security factors include: physical, human, administrative, and environmental factors;

factors of the object include index layer safety factors including: safety control of mechanical equipment, safety protection and monitoring equipment, equipment overhaul and maintenance and material quality;

the human factor includes index layer security factors including: the safety awareness, the quality of personnel, the technical level and the construction operation rules of people;

the managed factors include index layer security factors including: making and executing safety regulation and system, setting safety management mechanisms, safety education and training, safety inspection and accident treatment and safety investment;

the factors of the environment include index layer security factors including: natural environment, construction environment, and living environment.

Optionally, the safety factor evaluation device 5 at the construction site may further include:

an analysis unit for determining a cause of a safety issue based on the target safety factor;

and the early warning unit is used for outputting early warning information based on the incentive.

Referring to fig. 6, fig. 6 is a schematic diagram of a server according to an embodiment of the present invention. As shown in fig. 4, the server 6 of this embodiment is used for evaluating safety factors of a construction site, and includes: a processor 60, a memory 61 and a computer program 62, such as a credit management program, stored in said memory 61 and operable on said processor 60. The processor 60, when executing the computer program 62, implements the steps in the above-described embodiments of the method for evaluating safety factors at each construction site, such as the steps 101 to 104 shown in fig. 1. Alternatively, the processor 60, when executing the computer program 62, implements the functions of the units in the above-mentioned device embodiments, such as the functions of the modules 510 to 540 shown in fig. 5.

Illustratively, the computer program 62 may be divided into one or more modules/units, which are stored in the memory 61 and executed by the processor 60 to accomplish the present invention. The one or more modules/units may be a series of computer program instruction segments capable of performing specific functions, which are used to describe the execution of the computer program 62 in the server 6. For example, the computer program 62 may be divided into an acquisition unit, a construction unit, a determination unit, and an evaluation unit, each unit functioning specifically as described above.

The server 6 may include, but is not limited to, a processor 60, a memory 61. Those skilled in the art will appreciate that fig. 6 is merely an example of a server 6, and does not constitute a limitation on the server 6, and may include more or fewer components than shown, or some components in combination, or different components, e.g., the server 6 may also include an input output server, a network access server, a bus, etc.

The Processor 60 may be a Central Processing Unit (CPU), other general purpose Processor, a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), an off-the-shelf Programmable Gate Array (FPGA) or other Programmable logic device, discrete Gate or transistor logic, discrete hardware components, etc. A general purpose processor may be a microprocessor or the processor may be any conventional processor or the like.

The memory 61 may be an internal storage unit of the server 6, such as a hard disk or a memory of the server 6. The memory 61 may also be an external storage server of the server 6, such as a plug-in hard disk, a Smart Media Card (SMC), a Secure Digital (SD) Card, a Flash memory Card (Flash Card), and the like, provided on the server 6. Further, the memory 61 may also include both an internal storage unit of the server 6 and an external storage server. The memory 61 is used for storing the computer programs and other programs and data required by the server 6. The memory 61 may also be used to temporarily store data that has been output or is to be output.

It will be apparent to those skilled in the art that, for convenience and brevity of description, only the above-mentioned division of the functional units and modules is illustrated, and in practical applications, the above-mentioned function distribution may be performed by different functional units and modules according to needs, that is, the internal structure of the apparatus is divided into different functional units or modules to perform all or part of the above-mentioned functions. Each functional unit and module in the embodiments may be integrated in one processing unit, or each unit may exist alone physically, or two or more units are integrated in one unit, and the integrated unit may be implemented in a form of hardware, or in a form of software functional unit. In addition, specific names of the functional units and modules are only for convenience of distinguishing from each other, and are not used for limiting the protection scope of the present application. The specific working processes of the units and modules in the system may refer to the corresponding processes in the foregoing method embodiments, and are not described herein again.

In the above embodiments, the descriptions of the respective embodiments have respective emphasis, and reference may be made to the related descriptions of other embodiments for parts that are not described or illustrated in a certain embodiment.

Those of ordinary skill in the art will appreciate that the various illustrative elements and algorithm steps described in connection with the embodiments disclosed herein may be implemented as electronic hardware or combinations of computer software and electronic hardware. Whether such functionality is implemented as hardware or software depends upon the particular application and design constraints imposed on the implementation. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present invention.

In the embodiments provided in the present invention, it should be understood that the disclosed apparatus/server and method may be implemented in other ways. For example, the above-described apparatus/server embodiments are merely illustrative, and for example, the division of the modules or units is only one logical division, and there may be other divisions when actually implemented, for example, a plurality of units or components may be combined or may be integrated into another system, or some features may be omitted, or not executed. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection through some interfaces, devices or units, and may be in an electrical, mechanical or other form.

The units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiment.

In addition, functional units in the embodiments of the present invention may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit. The integrated unit can be realized in a form of hardware, and can also be realized in a form of a software functional unit.

The integrated modules/units, if implemented in the form of software functional units and sold or used as separate products, may be stored in a computer readable storage medium. Based on such understanding, all or part of the flow of the method according to the embodiments of the present invention may also be implemented by a computer program, which may be stored in a computer-readable storage medium, and when the computer program is executed by a processor, the steps of the method embodiments may be implemented. . Wherein the computer program comprises computer program code, which may be in the form of source code, object code, an executable file or some intermediate form, etc. The computer-readable medium may include: any entity or device capable of carrying the computer program code, recording medium, usb disk, removable hard disk, magnetic disk, optical disk, computer Memory, Read-Only Memory (ROM), Random Access Memory (RAM), electrical carrier wave signals, telecommunications signals, software distribution medium, and the like. It should be noted that the computer readable medium may contain content that is subject to appropriate increase or decrease as required by legislation and patent practice in jurisdictions, for example, in some jurisdictions, computer readable media does not include electrical carrier signals and telecommunications signals as is required by legislation and patent practice.

The above-mentioned embodiments are only used for illustrating the technical solutions of the present invention, and not for limiting the same; although the present invention has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some technical features may be equivalently replaced; such modifications and substitutions do not substantially depart from the spirit and scope of the embodiments of the present invention, and are intended to be included within the scope of the present invention.

Claims

1. A safety factor evaluation method for a construction site is characterized by comprising the following steps:

2. The method for evaluating safety factors on a construction site according to claim 1, wherein the constructing of the judgment matrix of the standard layer safety factors and the index layer safety factors comprises:

constructing the first judgment matrix based on the relative importance degree between the safety factors of the criterion layer;

and constructing the second judgment matrix based on the relative importance degree between the index layer safety factors.

3. The method for evaluating safety factors of a construction site according to claim 1 or 2, wherein the determining a target safety factor to be monitored with emphasis based on the first relative weight value of each of the standard layer safety factors and the second relative weight value of each of the index layer safety factors comprises:

and sequentially screening a preset number of target safety factors to be monitored in a key manner according to the sequence of the weight values from large to small on the basis of the first relative weight value of each standard layer safety factor and the second relative weight value of each index layer safety factor.

4. The method of evaluating safety factors at a construction site according to claim 1, wherein the criteria-level safety factors include: physical, human, administrative, and environmental factors;

5. The method for evaluating safety factors of a construction site according to claim 1, wherein the obtaining of the safety factors of the standard layer and the index layer of the construction site of the target construction project comprises:

and acquiring the standard layer safety factor and the index layer safety factor of the construction site of the target construction project based on the accident cause theory.

6. The method for evaluating safety factors on a construction site according to claim 1, 2, 4 or 5, wherein after determining the target safety factor to be monitored with emphasis based on the first relative weight value of each safety factor of the criterion layer and the second relative weight value of each safety factor of the index layer, the method further comprises:

determining a cause of a safety issue based on the target safety factor;

and outputting early warning information based on the incentive.

7. A safety factor evaluation device for a construction site is characterized by comprising:

8. The safety factor evaluation device for a construction site according to claim 7, further comprising:

9. A server comprising a memory, a processor and a computer program stored in the memory and executable on the processor, characterized in that the steps of the method according to any of claims 1 to 6 are implemented when the computer program is executed by the processor.

10. A computer-readable storage medium, in which a computer program is stored which, when being executed by a processor, carries out the steps of the method according to any one of claims 1 to 6.